Title: Maximising energy efficiency using data aggregation in sensor networks

Authors: B.S. Deepa Priya; Sharmini Enoch

Addresses: Department of Computer Science and Engineering, Noorul Islam University, Kumaracoil, Tamilnadu, India; Department of Electronics and Communication Engineering, Noorul Islam University, Kumaracoil, Tamilnadu, India ' Department of Computer Science and Engineering, Noorul Islam University, Kumaracoil, Tamilnadu, India; Department of Electronics and Communication Engineering, Noorul Islam University, Kumaracoil, Tamilnadu, India

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.

DOI: 10.1504/IJENM.2017.083602

International Journal of Enterprise Network Management, 2017 Vol.8 No.1, pp.1 - 13

Received: 10 Jan 2015
Accepted: 22 May 2015
Published online: 12 Apr 2017 *

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