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Erschienen in:
BER Performance Evaluation of Different Modulation Techniques for Underwater FSO Communication System Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Comparative Study of Different Routing Protocols for IEEE 802.15.4-Enabled Mobile Sink Wireless Sensor Network

verfasst von : Pallavi Joshi, Ghanshyam Singh, A. S. Raghuvanshi

Erschienen in: Advances in VLSI, Communication, and Signal Processing

Verlag: Springer Singapore

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Abstract

Routing protocols play a very significant role in Wireless Sensor Networks (WSN). Routing is responsible for establishing an optimal path between the source and sink node. WSN are self-organized networks of spatially distributed dedicated sensors which collect the data and send it to the base station. IEEE 802.15.4 is an IEEE standard developed for Low Rate-Wireless Personal Area Network (LR-WPAN). Most real-time WSN applications use IEEE 802.15.4 standard for Media Access Control (MAC) and Physical layers in order to enhance the functionality of the nodes. This paper aims to provide a comparative performance evaluation of four chosen routing protocols most suited for WSN applications, which are, Ad-hoc On-demand Distance Vector routing (AODV), Dynamic MANET On-demand routing (DYMO), Bellman–Ford and Optimized Link State Routing (OLSR) protocols. The performance of each protocol is compared using standard Quality of Service metrics (QoS) like average throughput, average end-to-end delay, average energy consumption, etc. The developed scenario is studied for both stationary and mobile sink condition. Simulation results presented show that DYMO performs best in terms of average throughput, average energy consumption, and total packet received at sink.

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Vorheriges Kapitel Stable Energy-Efficient Routing Algorithm for Dynamic Heterogeneous Wireless Sensor Networks
Nächstes Kapitel Cooperative Communications Framework for Industrial Applications
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Metadaten
Titel
Comparative Study of Different Routing Protocols for IEEE 802.15.4-Enabled Mobile Sink Wireless Sensor Network
verfasst von
Pallavi Joshi
Ghanshyam Singh
A. S. Raghuvanshi
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Advances in VLSI, Communication, and Signal Processing

Print ISBN: 978-981-329-774-6

Electronic ISBN: 978-981-329-775-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-32-9775-3_16

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