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Extensible Network Lifetime Using Relay Selection Scheme on Wide Area Wireless Sensor Networks
M. Parameswari1, T. Sasilatha2, S. Vijayalakshmi3, P. Divya Bharathi4, A. Aishwarya5

1M. Parameswari, Associate Professor, Kings Engineering College, Chennai (Tamil Nadu), India.
2Dr. T. Sasilatha, Professor & Dean, Department of EEE Marine, AMET University, Chennai (Tamil Nadu), India.
3S. Vijayalakshmi, UG Student, Department of IT, Kings Engineering College, Chennai (Tamil Nadu), India.
4P. Divya Bharathi, UG Student, Department of IT, Kings Engineering College, Chennai (Tamil Nadu), India.
5A. Aishwarya, UG Student, Department of IT, Kings Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 06 February 2019 | Revised Manuscript received on 19 February 2019 | Manuscript Published on 04 March 2019 | PP: 220-224 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2034017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: One of the most important metrics in wide area wireless sensor networking (WAWSN) is to maximize the network lifetime. In this paper, a relay selection scheme is proposed under the topology constraints to maximize the lifetime of WAWSNs through solving an optimization problem where relay selection of each node acts as optimization variable. Considering the diversity of the sensor nodes in WAWSNs, the optimization problem takes not only energy consumption rate but also energy difference among sensor nodes into account to improve the network lifetime performance. Since it is Non-deterministic Polynomial-hard (NP-hard) and intractable, a heuristic solution is then designed to rapidly address the optimization. The simulation results assumed indicates that the proposed relay selection scheme has better performance in network lifetime compared with existing algorithms and that the heuristic solution has low time complexity with only a negligible performance degradation gap from optimal value. Furthermore, we also assumed simulations based on a general WAWSN model to comprehensively illustrate the advantages of the proposed algorithm.
Keywords: WAWSNs, Lifetime, Energy Consumption, Residual Energy, Relay Selection, Optimization, Heuristic Solution.
Scope of the Article: Wireless ad hoc & Sensor Networks