UGC Approved Journal no 63975(19)

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

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1904W29


Registration ID:
522407

Page Number

219-231

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Title

Strategic Trajectory Defined Mobile Sink Scheduling Protocol for Energy Efficient Cluster based Wireless Sensor Network

Abstract

Heterogeneous wireless sensor network will lead to unequal energy consumption and imbalanced traffic due to limited energy sources of the densely deployed wireless network. Energy efficient approaches has been employed to achieve the higher energy efficiency and increase the lifetime of the network using multiple mobile sink on the heterogeneous sensor network . Despite of much significance of the routing approaches, it leads to hot spot challenges on deployment of the multiple mobile sink as data collection points to acquire the sensed information of the deployed sensor. As multiple mobile sinks frequently changes its locations and distance during data acquisition in multihop manner. To mitigate those hotspot challenges, a new energy efficient routing paradigm named as Strategic Trajectory defined multiple mobile sink scheduling protocol has been proposed. Proposed protocol is capable of enhancing the energy efficiency of the network and improving the lifetime of the network on properly managing the numerous parameter of the network by extracting the node energy, node coverage, data collection location and positions of the mobile sinks, data aggregation constraints of the protocols and data redundancy elimination constraints. Those management increase the transmission rate on generating the trace file to the particular routing principle. Particular configuration of the sensor network achieves high scalability, prolonged lifetime of the network and reduced data collection latency. Further this protocol has been organized initially using energy based clustering technique to represent the sensor node into cluster by establishing the Clusterhead to facilitate the effective data communication. Clusterhead carry out the planning of the data transmission of the collected data from the sensor through mobile sink trajectories to achieve the effective data collection and data transmission. Mobile sink Trajectories can be established using particle swarm optimization as it capable in reducing the energy depletion of the sensor nodes towards data collection and propagation distance on the sink nodes for data transmission. Extensive simulation analysis of the proposed model is carried out using NS2 simulator in order to evaluate the effectiveness. Furthermore, performance results of the proposed model has been illustrated that it achieves large energy consumption per nodes on various traffic of the network using cluster head for data collection through multi-hop relay mechanism on comparing with conventional existing approaches.

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"Strategic Trajectory Defined Mobile Sink Scheduling Protocol for Energy Efficient Cluster based Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.219-231, April-2019, Available :http://www.jetir.org/papers/JETIR1904W29.pdf

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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

"Strategic Trajectory Defined Mobile Sink Scheduling Protocol for Energy Efficient Cluster based Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp219-231, April-2019, Available at : http://www.jetir.org/papers/JETIR1904W29.pdf

Publication Details

Published Paper ID: JETIR1904W29
Registration ID: 522407
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 219-231
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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