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I-SMACP: IOT SMART CITY PLANNING B. Naveen Kumar 1 , B. Venkata Sivaiah 2 , O. Narendra Reddy 3 Assistant Professor, Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, India [email protected] [email protected] [email protected] Abstract- Smart City has been packed with various electronic systems focused on (IOT) technologies and, thus, smarter than before since the advent of advanced metering and automated techniques. Nonetheless, SmartCity schemes and programs around the world are enabled by the extensive usage of Internet of Things (IoT). Electronic tools and application suites are used in everyday life to guarantee that they remain compatible with the Internet. The introduction of 50 billion linked devices in intelligent cities by 2020 is according to a new Gartner Report. Such linked artifacts render our communities wise. Nonetheless, threats and safety issues may still be given up. Over the last few years, with the introduction of numerous smart city initiatives, not just the potential advantages, but also the threats were identified. This paper is aimed at carrying out a thorough examination of the definition of smart cities and their inspiration and use. We identify the developments in Smart City and IoT today and in future. We also speak about the relationship between intelligent cities and IoT and describe some of the factors of IoT and smart city growth. Finally, we speak about some of the drawbacks of IoT and how to fix them as used in intelligent communities. Keywords- Smart Cities, Smart Grid, Smart Buildings, Demand Response, LoRA, SigFox I. INTRODUCTION Smart and creative approaches are essential to increase profitability, boost organizational performance and the management expenditures as cities rise and expand.[1]. People are steadily utilizing IoT tools, including TV and internet unit, to provide their homes. Thermostats, intelligent sensors, intelligent door locks and other devices and equipment are all linked artifacts inside the real estate business. Connected devices were detailed debated and provided several local governments opportunities to focus on their sustainability goals in order to minimize CO2 pollution utilizing the IoT framework at the 2016 United Nations Conference on Climate Change (Cop21) held at Paris. In the sense of intelligent communities, these will play a key role. Intelligent waste bins, for example, will be of great value to citizens; they will mean that they will be complete quickly and have to be emptied. Citizens will track whether the waste containers in the street are complete or not via a mobile program. In fact, businesses may provide road-optimization approaches to waste management teams after garbage bins announce their status. Places can be fitted with cameras, environmental conditions can be tracked so riders or runners can identify the healthiest journeys, and the town can respond either by changing the transport or planting more trees in certain locations. Both people should have access to the data and facilitate technology growth and real-time knowledge for the inhabitants. Cities are becoming centers for the exchange of information. Technologies and technologies are just starting to evolve to build smart cities. The definition of a clever city is seen in Figure 1. The International journal of analytical and experimental modal analysis Volume XII, Issue IV, April/2020 ISSN NO:0886-9367 Page No:572

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Page 1: I-SMACP: IOT SMART CITY PLANNING

I-SMACP: IOT SMART CITY PLANNING

B. Naveen Kumar1, B. Venkata Sivaiah2, O. Narendra Reddy3

Assistant Professor, Department of Computer Science and Engineering, Annamacharya Institute of Technology and

Sciences, India

[email protected]

[email protected]

[email protected]

Abstract- Smart City has been packed with various electronic systems focused on (IOT) technologies and, thus, smarter than before

since the advent of advanced metering and automated techniques. Nonetheless, SmartCity schemes and programs around the world

are enabled by the extensive usage of Internet of Things (IoT). Electronic tools and application suites are used in everyday life to

guarantee that they remain compatible with the Internet. The introduction of 50 billion linked devices in intelligent cities by 2020 is

according to a new Gartner Report. Such linked artifacts render our communities wise. Nonetheless, threats and safety issues may

still be given up. Over the last few years, with the introduction of numerous smart city initiatives, not just the potential advantages,

but also the threats were identified. This paper is aimed at carrying out a thorough examination of the definition of smart cities and

their inspiration and use. We identify the developments in Smart City and IoT today and in future. We also speak about the

relationship between intelligent cities and IoT and describe some of the factors of IoT and smart city growth. Finally, we speak about

some of the drawbacks of IoT and how to fix them as used in intelligent communities.

Keywords- Smart Cities, Smart Grid, Smart Buildings, Demand Response, LoRA, SigFox

I. INTRODUCTION

Smart and creative approaches are essential to increase profitability, boost organizational performance and the management

expenditures as cities rise and expand.[1]. People are steadily utilizing IoT tools, including TV and internet unit, to provide their

homes. Thermostats, intelligent sensors, intelligent door locks and other devices and equipment are all linked artifacts inside the

real estate business. Connected devices were detailed debated and provided several local governments opportunities to focus on

their sustainability goals in order to minimize CO2 pollution utilizing the IoT framework at the 2016 United Nations

Conference on Climate Change (Cop21) held at Paris. In the sense of intelligent communities, these will play a key role.

Intelligent waste bins, for example, will be of great value to citizens; they will mean that they will be complete quickly and have

to be emptied. Citizens will track whether the waste containers in the street are complete or not via a mobile program. In fact,

businesses may provide road-optimization approaches to waste management teams after garbage bins announce their status.

Places can be fitted with cameras, environmental conditions can be tracked so riders or runners can identify the healthiest

journeys, and the town can respond either by changing the transport or planting more trees in certain locations. Both people

should have access to the data and facilitate technology growth and real-time knowledge for the inhabitants. Cities are becoming

centers for the exchange of information. Technologies and technologies are just starting to evolve to build smart cities. The

definition of a clever city is seen in Figure 1.

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Fig 1: Smart City Growth

A. Concept

Infrastructure and increasingly increasing facilities as the metropolitan population increase would provide local inhabitants with

a living atmosphere. That has contributed to a huge spike in wireless appliances. Sensors, actuators and tablets, for example,

may provide an immense market opportunity, as both gadgets may connect through the Internet.

The prototype is intelligent and the artifacts which configure themselves are connected to each other via a worldwide network

infrastructure. Issues would be common, limited computing space and real-world processing ability. Our goal is to enhance the

security, health and intelligent communities and their infrastructure. This article is focused on an examination of an intelligent

city connected with this information.

B. Motivation

Smart City has been more sophisticated and knowledgeable than ever with the rapid emergence of modern technologies. Smart

towns are fitted with various computer devices with specific uses, including a street camera display device, and are used in the

transportation of sensors etc. In fact, the usage of handheld apps will be expanded. Therefore, various concepts, such as entity

features, users, incentive and protection laws, can be analyzed when analyzing specific conditions. Some key facets of

Intelligent City 2020 are mentioned in the Guide.

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Fig 2: the aspects of smart cities

An assessment method focused on geographical position and application can be implemented into an IOT setting. For sensor

monitoring bikes, cars, public parking numerous ventures, the same data collection tool can be required. The usage of the Stuff

network for air and noise emissions, car tracking systems for smartphone devices in several service areas, is seen. There are

several signs.

Internet provides a shift in technology, many of which are interconnected. With an Internet revolution the interconnection

between artifacts will be rendered acceptable.

Fig 3: IoT based interconntection

Interconnection between different Internet-based artifacts within the IOTs. At the one side, however, everything in the lives of

smart communities, from wellness, education and travel, impacts every area of life. In policy choices (e.g. electricity

conservation, emissions management, etc.) and remote control and the requisite facilities will, on the other hand, play an

significant role at national level. This will enable energy conservation policies, economic considerations, reliability and other

aspects to make the operation of a system more efficient, cost-efficient and secure.

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II. Intelligent towns stuff development

We utilize a wireless network of common protocols and the Cloud is the integration. The central principle that the universality

of environmental phenomena may be evaluated and interpreted, understood and updated. In this basis, the creation of various

artifacts and communication technology can accomplish stuff. Smart devices like mobile phones and other items, such as food,

household equipment, landmarks and artworks, may be used in stuff to accomplish a shared purpose. Internet users 'living

experiences may be considered as a core feature [1]. Several technology-related problems are addressed below.

A. Radio Frequency Identification (RFID)

The main role of these devices in the environmental reading and marking. By utilizing the entity according to one of the

algorithms, a unique number representing the item to be combined and the digital knowledge and resources connected with it

will be automatically categorized and allocated.

B. Wireless Sensor Network (WSN)

Wireless sensor networks may provide a variety of relevant and specific data, and, in certain situations, seismic sensors. The

networks can have separate and suitable data. Therefore, an RFID device can incorporate wireless sensor networks to attain the

goal, such as details on location, orientation, temperature and additionally.

C. Addressing

The development in classic things as well as the achievement of major communication capabilities on the Internet will even

include a communication of the user with the entity to build an intelligent atmosphere [2]. The capacity to recognise the source

of a good result is also important. Since the only way to monitor the mixture of large items on the Internet. In addition to the

above-mentioned definition, efficiency, scalability, and longevity are important to prove that a specific management scheme is

developed [2].

D. Middleware

In conjunction with the promotion of issues, the network middleware is an integral aspect of the application layer for some

problems of complexity in the capacity for specific loading and processes as well as for the massive gaps in implementations.

The middleware aims mainly to incorporate and communicate all the related equipment in a succinct way.

III. IoT Architecture

IoT systems can be part of large-scale networks of thousands of sensors over many kilometers and regions. We will concentrate

mostly in the rest of this chapter on Semtech's and SigFox's LoRa Ultra-Narrow Band (UNB) technologies.

Table 1: Main communication standards within IoT

802.11a 802.11b 802.11ac 802.15.1 802.15.3 802.15.6 NFC

Date 1999 1999 2014 2002/2005 2003 2011 2011

Network size 30 30 7 245 250 -

Network type WLAN WLAN WLAN WPAN WPAN WBAN Point-to-Point

Frequency 5 GHz 2.4 GHz 5 GHz 2.4 GHz 2.4 GHz 402-405

MHz

13.56 MHz

Application WiFi WiFi Bluetooth

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Fig 4: Comparison of 6LoWPAN’s stack with other stacks

A. LoRA

LoRa is a wireless platform intended to supply the power-efficient LPWANs for the Internet of Things services[3]. The system

offers a mix of long-range, low power usage and secure data transmission. For IoT-type devices in national or global networks,

the LoRa protocol was created. It platform provides smooth interoperability between devices without complicated installations.

The aim facilities include home energy monitoring, warning systems, remote health monitoring, transportation, environmental

security, etc. The communication protocol and device design for the base network are specified in this specification. Based on

the field it is used, it embraces frequencies of the ISM bands 433, 868 or 915 MHz. Throughout Europe, it utilizes either the

patented modulation method Gaussian Frequency Shift Keying (GFSK) or LoRa, which operates on a 125 KHz signal

bandwidth variant of the Chirp Stread Spectrum[4]. Figure 5 explains LoRa's architecture

Fig 5: LoRa architecture

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LoRa networks utilize the hierarchical star topology. These networks may include IoT devices such as servers, endpoints or

gateways. When the Channel Compression is used, the data levels in Europe will vary from 0,3 Kbps to 50 Kbps. According to

the Federal Communications Commission (FCC) guidelines, the default data limit is of 0.9 Kbps in North America. The payload

will vary from 2 to 255 bytes [5] for this technology. This design is designed for battery and low-cost sensors. The devices are

asynchronous and only interact once they are ready to transmit event-driven or scheduled results. The use of electricity is

commensurate with the period spent in listening mode.

In IoT networks introduced by cellular providers, LoRa attracts considerable coverage. It can be implemented with reduced

expenditure and operational costs in the upfront network. Additional Gateways may be inserted if additional network capacity is

necessary. The expense of implementing this system in unlicensed bands has been reported to be slightly smaller than just 3 G

upgrade [4]. As they gain from competing technologies, leading telecom operators (e.g. Swisscom, NKE Electronics, etc.) adopt

this technology for domestic networks. Such advantages include bi-directional messaging, asset monitoring agility, surveillance

and precise location [5].

B. SigFox

SigFox developed an ultra-narrowband IoT connectivity network intended to enable long range IoT implementations, e.g.

between consumer and base station in excess of 20 km. In order to relay data across a small scale to and from the related items,

SigFox uses approved exempt bandwidth, i.e. 868 MHz band in Europe and 915 MHz band in the USA. Bandwidth chains

smaller than 1 KHz transfer data payloads of 12 bytes uplink and 8 bytes downlink, with an overhead protocol of 26 bytes [5],

enables ultra-narrow band service.

One of SigFox's strength is its resource quality. The need for electricity is minimal since hardware is "powered" even while they

transmit; this implies the the consumption for a wireless network is a fraction of this. SigFox technology allows very fast, low-

power communication by reducing the number of antennas. SigFox requires about 1000 times fewer antennas and base stations

than other wireless networks with the same amount of coverage. It system allows access to a service management device that

can track essential parameters of contact such as battery and temperature regulation, signal strength, data transmission rate, and

so forth. SigFox-based networks in many foreign cities have now linked thousands of users. It is currently in operation in 14

nations, spreading over 1,2 million square kilometers and serving 223 million residents.

IV. Smart City's realistic implementation

Stuff to connect heterogeneous computers with the Internet. All necessary tools can be conveniently accessible in this link with

the internet. To do so, sensors should be built for the collection and analysis of data at different sites in order to maximize use.

The key implementations of the stuff in the intelligent Internet cities as seen in Figure 6. Such awareness describes the key

objective as follows.

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Fig 6: Applications of the IOT

A. Smart Home

Sensor produced data may be used for smart home surveillance. For instance, the control of waste and contamination can

introduce a creative demand response (DR) or the feature and the consumer may be alerted if it goes above a critical level.

B. Intelligent Parking

You can monitor the appearance and departure of a number of different parking cars by allowing intelligent parking. Therefore,

the number should be planned in increasing area of intelligent car parking. Therefore, a new parking lot will be built for more

cars. Smart Parking Information will also have advantages for daily life in the smart city and for company owners.

C. Weather and water supply systems

The water and weather network should have the correct amount of knowledge indicators, such as temperature levels, heat, wind

and noise, which can further improve the productivity of Smart City.

D. Vehicular traffic

Vehicle traffic data is one of the key data points for traditional smart cities, people and the government to access the data to

utilize it. Citizens may often utilize the vehicle's traffic statistics to assess whether traffic information is being utilized in full.

E. Environmental Pollution

The area can't be known as an educated community if its residents are unsafe. In this regard, Smart City will track air emissions

and the public, in particular those that provide medical details. A specific noise and environmental data module has been

recorded [7].

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F. Survelliance System

In the smart area, health is the most critical consideration from the point of view of the public. The smart community will also

be tracked continuously. Analysis of intelligence and the quest for violence, though, is quite complicated. References [7]

proposed a new program to improve the security of smart cities.

V. Application of smart city

Figure 7 shows the future IoT applications of smart city.

Fig 7: Smart Grid

A. Smart Cities and Communities

Resources and environmental impacts may result in introduction of stuff. This may also provide meaning and incentives for

spatial knowledge. Collective intelligence is often essential to facilitate decision-making and inspire citizens [8]. In fact, a

growing middleware service may be supported by utilizing the Internet of Things [9]. The sensor is used to narrow the

virtualization distance between technologies. it should be stated.

B. Smart Home

Heterogeneous tools by board, routine domestic automation operations. Indeed, by utilizing the knowledge linked to each other,

the entity may be transformed into a computer over the internet, using a web server interface. Most sophisticated home

applications use sensor networks. To access the internet or its smart devices for the purpose of achieving the applications

mentioned above. Smart lighting, for example, in recent years has gained considerable coverage. This consumes 10% of the

world's illumination capacity intake, contributing to 6% of greenhouse gas emissions[2]. Throughout this way, the usage of

intelligent light regulation mechanisms will sustain 45 percent of lighting energy [10].

C. Respond to customer

You can run your clever home with the AC controller and many other clever devices [1]. The home platform helps the family

manager to collect data from many integrations of families. Tariff energy sector Bids based on an AC controller signal can be

used to give a signal and allow / reject polymerization for such devices by choice.

Active customers may enhance the network that is involved in running a popular demand response through tracking and control

tools. Active customer may The International Energy Agency's (IEA) study renders the market practices of a decision-making

energy regime a crucial election because of the technical and economic benefits. Electricity, according to DR.

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In order to boost energy efficiency or avoid price increases, customers should change control modes. Smart grid, clean energy

development, mitigation projects and improved DR [11] are strongly focused on power grids for forecasting the future. A mix of

different green energy sources and catastrophe mitigation to provide customers with multiple alternatives and make usage of the

sustainability programs of the plant. Smart Grid emphasis.

D. Smart energy and smart grid

The usage of energy allocation and utilization in heterogeneous networking system was to ensure intelligent control. The IoT

node has sensing and network features, which improve the likelihood of energy suppliers improving the planning phase. It

intervention should be applied to a case of disaster. The fault place, isolation and restore services(FLISR) are one of the most

critical expansions. This property allows for the detection, removal and device swapping of damaged components in order to

repair the greatest amount of advanced equipment that impaired the safe portion of the feed capacity. In fact, the triggering

mechanism can be established at an advanced level and the generator can be dispersed[11] using a self-healing technique. Such

policies will boost stability, resource efficiency and profitability[9]. Such policies should be applied. Figure 8 displays some of

the main requirements for the intelligent system.

Fig 9: IoT Ptential

E. Health of Buildings

We must: (1) track constantly the conditions of the houses, and (2) define the places most impacted by various external agents

to preserve the historic buildings of a city correctly [12]. The town has many buildings of varying sizes and ages. This is

different from city to city, but much of the houses (e.g. houses, lakes or bridges) have usually been quite old[13]. Passive WSNs

are built into a concrete system for determining buildings conditions and a radio signal of acceptable amplitude and phase

feature may be routinely sent to remind the framework of its state[14].

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F. Environmental Monitoring

In the WSN, the data obtained from various contexts were stored, analyzed and disseminated [13]. Specific sensor measurement

parameters[15] are:

Lake stage, ponds, groundwater. Surface quality.

Air gas volumes of villages, factories and reservoirs.

Moisture of soil and other characteristics.

Static structural tendency (e.g., bridges, barrier).

Changes in place (for landslides, for instance).

Lighting situations either in the joint sensing or separately (e.g. in the dark).

Heat (fire) or animal detection infrarot radiation.

G. Smart Health

A low cost wireless body area network (WBAN) will profit significantly from patient surveillance in clinics, residential and

work environments [16]. The network is also focused on low cost wireless sensor network technologies. The thumbnails may be

inserted into the body or stuck to the body back. Sensors connect using different WPAN systems (ZigBee, 6LowPAN, CoAP,

etc) with medical equipment. The system will also collect and interpret details from remote sources on different physiological

variables (e.g. blood flow, respiratory rate, blood pressure, PH air, body temperature etc.). The need for wearability impairs the

construction of such sensors physically. The sensors should be compact, tiny and do not obstruct the orientation and stability of

a patient. Moreover, because the sensors must be equipped with tiny portable batteries, they must be very energy-efficient [17].

Fig 10: Smart health

VI. Practical global experience

According to the national intelligence council, the internet of things is one of the most powerful resources for US interests in

2025[12]. The findings are a study of realistic practice around the world. The number of devices linked in 2011, as stated

earlier. With more than 2012 residents, the amount of wired devices reached about 9 billion by 2020, reaching 24 billion This

development has risen significantly [2]. Based on the above results, it is undeniably one of the next biggest resources.

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In South Korea, Suwon (Seoul), Taipei (South Korea), Taipei (Djapan), Mitaka (Singapore), Waterloo and Calgary, Alberta,

Glasgow. Efforts and successes are documented in the 1999-2010 intelligence community forum Award, which offers funding

and encouragement for the development of a high-level environment network for e-services. Some examples of test experience

around smart cities in Table 2

Table 2: POLICIES and Sustainable City Pragmatic

CITY EXPERIENCE

Santa Cruz Crime data review to assess the officer's priorities to increase the area police presence.

Barcelona Sensor development deployment, traffic data flow research to use a modern bus network

architecture and smart mobility implementations

Amsterdam Reduce travel, electricity, enhance protection

Stockholm Providing a growing Stockholm fiber optic network

VII. Complexities

A. Security and Privacy

When all the information is collected and processed using a popular IOT database, multiple attacks (e.g. cross-site scripting and

side channels) may occur on the network. Furthermore, a device of this type is fragile. However, the program will contribute to

problems of protection and data leakage[1].

B. Reliability

In the network based on the Internet of Things, security issues have arisen. For example, it is not easy to connect with the car

while it is traveling. Furthermore, there are several intelligent devices that cause certain reliability problems with their

malfunction.

C. Massive

Other scenes involve a lot of interaction among embedded devices that can be spread over a WAN area. The Stuff program

provides an effective data aggregation and research platform[1,46-52] on different platforms. Such large-scale information,

though, demands a high volume of processing that makes it impossible to solve the usual issues of adequate storage and data

collection. Allocation of system tracking stuff on the other, since the execution and related complex delays of such systems

must be linked. Allocation of activities to track the system as the execution and the associated complex delays will be connected

to such machines.

D. Heterogeneous

With growing device part, IoT systems are typically designed to deliver excellent solutions for different applications. The

authorities will then evaluate their own goals, decide the appropriate computational hardware and software and incorporate

these heterogeneous subsystems. It is also a challenging task to provide such connectivity solutions and to have an successful

relationship among them.

E. Sensor Networks

Sensor networks can be called one of the most significant Internet-based technologies [10]. This technology will have an

opportunity to calculate, deduce and understand [2] the universe of indicators. Recent technological advancements and

innovations in large-scale remote sensing technologies.

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F. Legal and social aspects

The Things Program may be focused on device usage knowledge. Throughout this situation, specific state and foreign

regulations must be dealt with by the service provider. Consumers will always provide adequate support to engage in software

and data collection determinations. It is the problem of evidence that allows engagement and delivery simpler for consumers to

determine. Ref.[2] discusses the mixture of human resource details and digital protection concerns for applications.

G. Big Data

Of course, with around 50 billion computers, attention must be given to the transmission, storage and retrieval and review of

large amounts of data produced [1]. The key tool for any large data would of course be the networking infrastructure.

References

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the ACM, 59(8):46–57, 2016.

[2] Coordination And Support Action for Global RFID related Activities and Standardisation: RFID and the Inclusive

Model for the Internet of Things. Technical report, CASAGRAS, 2009.

[3] LoRa Alliance. Wide Area Networks For IoT. https://www:loraalliance :org, 2017.

[4] LoRa Alliance. LoRa Technology. https://www:lora-alliance:org/ What-Is-LoRa/Technology, 2017.

[5] Keith E Nolan,Wael Guibene, and Mark Y Kelly. An evaluation of low power wide area network technologies for the

Internet of Things. In Wireless Communications and Mobile Computing Conference (IWCMC), 2016 International,

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[6] LoRaWAN, What is it. A Technical Overview of LoRa and LoRaWAN. Technical report, LoRa Alliance. Technical

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standardization. Wireless Personal Communications, 58(1):49–69, 2011.

[9] J Hoffstein, N Howgrave-Graham, J Pipher, JH Silverman, and W Whyte. NTRU Encrypt and NTRUSign: efficient

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[11] Gartner Says By 2020, More Than Half of Major New Business Processes and Systems Will Incorporate Some

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[12] Andrea Zanella, Nicola Bui, Angelo Castellani, Lorenzo Vangelista, and Michele Zorzi. Internet of things for smart

cities. IEEE Internet of Things journal, 1(1):22– 32, 2014.

[13] Jennifer Yick, Biswanath Mukherjee, and Dipak Ghosal. Wireless sensor network survey. Computer networks,

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[14] Jiong Jin, Jayavardhana Gubbi, Slaven Marusic, and Marimuthu Palaniswami. An information framework for creating

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[15] Mihai T Lazarescu. Design of a wsn platform for long-term environmental monitoring for iot applications. IEEE

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[16] Carmen CY Poon, Yuan-Ting Zhang, and Shu-Di Bao. A novel biometrics method to secure wireless body area sensor

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[17] Moeen Hassanalieragh, Alex Page, Tolga Soyata, Gaurav Sharma, Mehmet Aktas, Gonzalo Mateos, Burak Kantarci,

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processing: Opportunities and challenges. In Services Computing (SCC), 2015 IEEE International Conference on,

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