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

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

Content Provider	IET Digital Library
Author	Hosahalli, Doreswamy Srinivas, Kunal G.
Abstract	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.
Starting Page	1
Ending Page	12
Page Count	12
ISSN	20436386
Volume Number	10
e-ISSN	20436394
Issue Number	Issue 1, Feb (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-wss/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-wss.2018.5198
Journal	IET Wireless Sensor Systems
Publisher Date	2019-08-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Backward Compatibility Feature Preservation Communication Network Design, Planning And Routing Communication Purposes Computer Communication Computer Network And Technique Computer Network Management Computer Network Reliability Cross-layer Routing Protocol Cumulative Congestion Degree Cumulative Congestion Estimation CWSN-eSCPM Protocol Data Communication Data-centric Service Differentiation And Fair Resource Scheduling DCSDFRS Deadline Miss Ratio Deadline Reliable Data Communication Deadline Sensitive Data Communication Dynamic Link Assessment Dynamic Link Quality Economic, Social And Political Aspects of Computing Event-driven Critical Communication Event-driven M2M Communication IEEE 802.15.4 Standard Incorporating Node Internet of Things Internet-of-Things IoT Based SCPM IoT Based Smart City Planning And Management IoT-assisted Smart City Planning And Management Low-cost WSN Communication System Machine-to-machine Communication Mobility Assisted Transmission Paradigms Network Awareness Network Condition Variations Network Management Network Performance Nonreal-time Data Optimal Best Forwarding Node Selection Optimal Resource Provision Optimal Routing Decision Packet Delivery Ratio Packet Loss Ratio Packet Radio Network Packet Velocity Estimation Pervasive Computing Proactive Network Management Proactive Node Management Strategy Protocol Quality of Service Quality of Service Provision Radio Link Real Time Application Real Time System Real-time Data Robust Cross-layer Architecture Routing Protocol Smart Cities Smart City Implementation Telecommunication Network Topology Telecommunication Scheduling Topological Changes Ubiquitous Wireless Communication System Wireless Sensor Network WSN Routing Protocol
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering

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