Advanced sensing and internet of things in smart cities

Bogatinoska, Dijana Capeska; Malekian, Reza; Trengoska, Jasna; Nyako, William Asiama

doi:10.1109/mipro.2016.7522218

Cited by 30 publications

(12 citation statements)

References 6 publications

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“…A number of researches have been done where it has been found that IoT ecosystem with efficient routing and networking solution can be vital to achieving optimal performance [4, 6–14]. However, it has been found that classical WSN systems cannot be effective for mobile M2M communication based routing to achieve optimal performance over SCPM [12–14].…”

Section: Related Workmentioning

confidence: 99%

“…Towards these objectives, Smart City Planning and Management (SCPM) has been one of the most sought areas where both almost all stakeholders including government agencies, industries as well as academia have been working deductively. Smart City concept predominantly exploits two key technologies, wireless sensor networks (WSNs) [4], Internet‐of‐Things (IoT) [4, 6–14] and BigData computation, where the earlier intend to perform data gathering from different sources or sensors, while later exhibits user/decision centric computation. In the last few years, technologies such as BigData and IoT which exploit wireless communication paradigm to enable machine‐to‐machine (M2M) communication across functional components, as cumulative solution has been found potential solution towards SCPM.…”

Section: Introductionmentioning

confidence: 99%

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Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Hosahalli

Srinivas

2020

IET wirel. sens. syst.

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The robustness of wireless sensor networks (WSNs) has broadened the use of wireless communication systems for modern machine-to-machine (M2M) communication. Internet-of-Things (IoT) being one of the most explored technologies has gained wide attention due to low-cost WSN communication systems. IoT is one of the dominant technologies used in Smart City implementation demands better communication paradigm including mobility assisted transmission paradigms; however, native IEEE 802.15.4 standard does not have mobility provision that limits its use for real-time applications. On contrary, implementing mobility with classical WSN might impose significantly great topological changes and node or network condition variations which cannot be dealt with the traditional reactive routing approach. Incorporating node and/or network awareness with proactive network management can enable classical WSN to support mobility, which can be vital for IoT based Smart City Planning and Management (SCPM). With this motivation, in this study, a robust Cross-Layer Architecture based WSN Routing Protocol for Event-Driven M2M Communication in SCPM (CWSN-eSCPM) is developed. CWSN-eSCPM encompasses Proactive Node Management Strategy, Data-Centric Service Differentiation and Fair Resource Scheduling (DCSDFRS), Packet Velocity Estimation, Cumulative Congestion Estimation, Dynamic Link Assessment that enables optimal Best Forwarding Node selection for deadline sensitive and reliable data communication. CWSN-eSCPM applies dynamic link quality, cumulative congestion degree, and packet velocity of a node to enable optimal routing decision. DCSDFRS enables optimal resource provision to the real-time data while assuring maximum possible resource for non-real-time data that assures Quality of Service provision for event-driven critical communication in SCPM. Noticeably, CWSN-eSCPM protocol has been applied on top of IEEE 802.15.4 protocol standard, while preserving backward compatibility feature, it can be used for WSN assisted communication purposes. The authors' proposed protocol has performed better in terms of packet delivery ratio, packet loss ratio and deadline miss ratio for both real-time data as well as non-real-time data.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Hosahalli

Srinivas

2020

IET wirel. sens. syst.

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“…WSNs process, analyse and disseminate information collected from multiple environments [27]. The various parameters measured by sensors [28] are: Water level for lakes, streams and sewages. Gas concentration in the air for cities, laboratories and deposits. Soil humidity and other characteristics. Inclination for static structures (e.g. bridges, dams). Position changes (e.g.…”

Section: Iot As An Enabling Technology For Smart Citymentioning

confidence: 99%

IoT technologiesfor smart cities

et al. 2018

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The large deployment of Internet of things (IoT) is actually enabling smart city projects and initiatives all over the world. Objects used in daily life are being equipped with electronic devices and protocol suites in order to make them interconnected and connected to the Internet. According to a recent Gartner study, 50 billion connected objects will be deployed in smart cities by 2020. These connected objects will make the authors' cities smart. However, they will also open up risks and privacy issues. As various smart city initiatives and projects have been launched in recent years, they have witnessed not only the expected benefits, but the risks introduced. They describe the current and future trends of smart city and IoT. They also discuss the interaction between smart cities and IoT and explain some of the drivers behind the evolution and development of IoT and smart city. Finally, they discuss some of the IoT weaknesses and how they can be addressed when used for smart cities.

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“…Lan Vu et al [12] have used parameters with complex inter‐relationships of waste composition, collection frequency, collection type and truck compartment configurations. Bogatinoska et al [13] have suggested an advanced sensing technique using IoT for smart city applications. Pardini et al [14] have presented a review on IoT‐based solid waste management solutions.…”

Section: Related Workmentioning

confidence: 99%

IoT cloud‐based cyber‐physical system for efficient solid waste management in smart cities: a novel cost function based route optimisation technique for waste collection vehicles using dustbin sensors and real‐time road traffic informatics

Mishra

Ray

2020

IET cyber-phys. syst.

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IoT cloud-based connected smart dustbins (equipped with sensors) are imperative for efficient waste management in smart city. Municipal agencies can reduce the use of both man and machine by cutting down their overall waste collection route distance as well as number of waste collection vehicles (WCVs) by deploying this proposed cyber-physical system for route optimization of WCVs with capacitated vehicle-routing model. A novel cost function is mathematically modelled using data from dustbin-sensors and real-time road-traffic with modified Dijkstra's algorithm for optimisation of WCVs routes. Amount of solid waste in the dustbin (GC in %), rate of the filling (ΔG) and real-time/dynamic road traffic information from Google distance matrix advanced application programming interface (API) are used for estimation of the optimised route for WCVs. Optimisation goal of this work is to reduce both capital expense (CapEx) and operational expense (OpEx) of solid waste collection in the city by cutting the WCV fleet size and reducing overall distance covered by WCVs. The proposed route optimisation technique is analytically simulated for Bhubaneswar smart city and the result shows 30.28% saving in overall WCVs route distance and hence reducing OpEx around 29.07% and CapEx around 26.83% by reducing WCV fleet size.

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Advanced sensing and internet of things in smart cities

Cited by 30 publications

References 6 publications

Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

IoT technologiesfor smart cities

IoT cloud‐based cyber‐physical system for efficient solid waste management in smart cities: a novel cost function based route optimisation technique for waste collection vehicles using dustbin sensors and real‐time road traffic informatics

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