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Maximising energy efficiency using data aggregation in sensor networks

Maximising energy efficiency using data aggregation in sensor networks Wireless sensor networks (WSNs) is a class of wireless ad hoc networks in which sensor nodes sense, process, and communicate data acquired from the physical environment to an external-base-station (BS). But the fundamental challenge in the design of wireless sensor networks (WSNs) is to maximise their lifetimes especially when they have a limited and non-replenish able energy supply. Energy-efficient communication is necessary to increase the lifetime of the sensor network. In this work solutions are for the data gathering and routing problem with in network aggregation in WSNs. The aim of our work is to focus on data gathering and redundancy elimination with in-network aggregation in WSNs. The objective is to maximise the network lifetime by utilising data aggregation with redundancy removal by increasing accuracy thereby improving packet delivery ratio and reducing energy consumption. This work focuses on the maximum lifetime data gathering and routing to avoid packet loss in wireless sensor networks. Keywords: data aggregation; data-centric routing; packet resensing algorithm; wireless sensor networks; enterprise network management. Reference to this paper should be made as follows: Priya, B.S.D. and Enoch, S. (2017) `Maximising energy efficiency using data aggregation in sensor networks', Int. J. Enterprise Network Management, Vol. 8, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Enterprise Network Management Inderscience Publishers

Maximising energy efficiency using data aggregation in sensor networks

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Publisher
Inderscience Publishers
Copyright
Copyright © 2017 Inderscience Enterprises Ltd.
ISSN
1748-1252
eISSN
1748-1260
DOI
10.1504/IJENM.2017.083602
Publisher site
See Article on Publisher Site

Abstract

Wireless sensor networks (WSNs) is a class of wireless ad hoc networks in which sensor nodes sense, process, and communicate data acquired from the physical environment to an external-base-station (BS). But the fundamental challenge in the design of wireless sensor networks (WSNs) is to maximise their lifetimes especially when they have a limited and non-replenish able energy supply. Energy-efficient communication is necessary to increase the lifetime of the sensor network. In this work solutions are for the data gathering and routing problem with in network aggregation in WSNs. The aim of our work is to focus on data gathering and redundancy elimination with in-network aggregation in WSNs. The objective is to maximise the network lifetime by utilising data aggregation with redundancy removal by increasing accuracy thereby improving packet delivery ratio and reducing energy consumption. This work focuses on the maximum lifetime data gathering and routing to avoid packet loss in wireless sensor networks. Keywords: data aggregation; data-centric routing; packet resensing algorithm; wireless sensor networks; enterprise network management. Reference to this paper should be made as follows: Priya, B.S.D. and Enoch, S. (2017) `Maximising energy efficiency using data aggregation in sensor networks', Int. J. Enterprise Network Management, Vol. 8,

Journal

International Journal of Enterprise Network ManagementInderscience Publishers

Published: Jan 1, 2017

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