UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2209520


Registration ID:
503034

Page Number

e1042-e1047

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Title

Throughput Inferred Adaptive Multiple Mobile Sink Routing Protocol in Low Duty Cycle Wireless Sensor Network

Abstract

Energy Efficient Balanced routing protocols have been widely deployed in network architectures to improve the performance of a flooding process in low-duty-cycle wireless sensor networks (WSNs).However existing protocols generate high flooding delay and network over head due to scheduling and balancing of the hop entities. Flooding delay and throughput degradation is considered as Hotspot issues. In order to tackle those challenges, a novel Throughput Inferred Adaptive Routing protocol has been proposed on dynamic multiple mobile sink on the data monitoring. Initially Node density of each sensor node has been computed along establishing the cluster of the sensor nodes for effective data transmission using particle swarm optimization technique. It computes the cluster head and cluster node on basis on dynamic propagation of the multiple sink towards monitoring and data collection. Network coding is integrated with scheduling of the mobile sink to disseminate the encoded packets as Markova process. Further it employs the trajectory computation for gathering the transmission information of the mobile sink and sensor node at varied time duration. Additionally, trajectory information produces efficient path prediction for further transmission to attain the effective energy utilization of the low duty cycle sensor node architecture. Extensive simulation analysis of the energy efficient routing protocols with respect to dynamic mobile sink has been evaluated with throughput, packet delivery ration and overhead. It proves that proposed approaches out performs the state of art approaches on all specified performance measures.

Key Words

Cluster based Wireless Sensor Network, Multiple Mobile Sink, Low Duty Cycle , Trajectory Data , Particle Swarm Optimization

Cite This Article

"Throughput Inferred Adaptive Multiple Mobile Sink Routing Protocol in Low Duty Cycle Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.e1042-e1047, September-2022, Available :http://www.jetir.org/papers/JETIR2209520.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Throughput Inferred Adaptive Multiple Mobile Sink Routing Protocol in Low Duty Cycle Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppe1042-e1047, September-2022, Available at : http://www.jetir.org/papers/JETIR2209520.pdf

Publication Details

Published Paper ID: JETIR2209520
Registration ID: 503034
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: e1042-e1047
Country: Coimbatore-641033, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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