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Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization

by Madhusmita Nandi, Jibendu Sekhar Roy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 15
Year of Publication: 2014
Authors: Madhusmita Nandi, Jibendu Sekhar Roy
10.5120/15961-5418

Madhusmita Nandi, Jibendu Sekhar Roy . Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization. International Journal of Computer Applications. 91, 15 ( April 2014), 45-50. DOI=10.5120/15961-5418

@article{ 10.5120/15961-5418,
author = { Madhusmita Nandi, Jibendu Sekhar Roy },
title = { Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 15 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number15/15961-5418/ },
doi = { 10.5120/15961-5418 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:52.295214+05:30
%A Madhusmita Nandi
%A Jibendu Sekhar Roy
%T Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 15
%P 45-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present work is to optimize energy consumption in wireless sensor networks for multi-layer medium access control (ML-MAC) scheme where the delay times, i. e. , maximum response time delay, packet transmission delay, clock-drift delay, sleep delay and queuing delay are considered. Particle swarm optimization (PSO) is a popular multidimensional optimization procedure which is used in this paper to achieve less power consumption in wireless sensor networks.

References
  1. Ye, W. , Heidemann, J. , Estrin, D. 2002. An energy-efficient MAC protocol for wireless sensor networks. IEEE INFOCOM 2002, Vol. 3, 1567 - 1576. Ye, W. , Heidemann, J. , Estrin, D. 2004. Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking, Vol. 12, No. 3, 493-506.
  2. Koutsakis, P. 2006. On increasing energy conservation for wireless sensor networks. Technical University of Crete. ICWMC'06 (July 2006), 4-14.
  3. Sohraby, K. , Minoli, D. , and Znati, T. Wireless sensor networks, Technology, protocols, and Applications, Second Edition, Wiley & Sons. , 4435-36/7.
  4. Yadav, R. , Varma, S. , and Malaviya, N. 2009. A survey of MAC protocols for wireless sensor networks. UbiCC Journal (August 2009) Volume 4, Number 3, 827-833.
  5. Singh, S. , Raghavendra, C. S. 1998. PAMAS-power aware multi-access protocol with signalling for ad-hoc networks. ACM SIGCOMM Computer Communication Review (July 1998). 5–26.
  6. Jurdak, R. , Lopes, C. V. , Baldi, P. 2004. A survey, classification and comparative analysis of medium access control protocols for ad hoc networks. IEEE Communications Surveys & Tutorials, 2-16.
  7. Wireless LAN medium access control (MAC) and physical layer (PHY) specification. IEEE std. 802. 11; 1999.
  8. Kennedy, J. , Eberhart, R. , 1995 Particle swarm optimization, Proc. IEEE Int. Conf. Neural Networks, Piscataway, NJ, 1942-1948.
  9. Latiff, N. M. A. , Tsimenidis, C. C. , and Sharif, B. S. 2007. Energy-aware clustering for wireless sensor networks using particle swarm optimization. 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07, 1-5.
  10. Jha, M. K. , Pandey, A. K. , Pal, D. , and Mohan, A. 2011. An energy efficient multi-layer MAC (ML-MAC) protocol for wireless sensor networks. International Journal of Electronics and Communications (AEÜ) 65, 209-216.
  11. ASH transceiver TR1000 data sheet, "RF Monolithic Inc. [Online]. http://www. rfm. com.
  12. Premkumar, M. , Kathiravan, M. , and Thirukkumaran, R. 2012. A novel MAC algorithm for energy aware wireless sensor networks. International Journal of Computer Applications, Vol. 58, No. 5, 1-4.
  13. Hameed, S. A. , Shaaban, E. M. , Faheem, H. M. , and Ghoniemy, M. S. 2009. Mobility-aware MAC protocol for delay-sensitive wireless sensor networks. ICUMT '09, 1-8.
Index Terms

Computer Science
Information Sciences

Keywords

Energy consumption Medium access control Wireless sensor networks Particle swarm optimization.

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