CFP last date
20 December 2024
Reseach Article

A Novel MAC Algorithm for Energy Aware Wireless Sensor Networks

by M. Premkumar, M. Kathiravan, R. Thirukkumaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 5
Year of Publication: 2012
Authors: M. Premkumar, M. Kathiravan, R. Thirukkumaran
10.5120/9275-3464

M. Premkumar, M. Kathiravan, R. Thirukkumaran . A Novel MAC Algorithm for Energy Aware Wireless Sensor Networks. International Journal of Computer Applications. 58, 5 ( November 2012), 1-4. DOI=10.5120/9275-3464

@article{ 10.5120/9275-3464,
author = { M. Premkumar, M. Kathiravan, R. Thirukkumaran },
title = { A Novel MAC Algorithm for Energy Aware Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 5 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number5/9275-3464/ },
doi = { 10.5120/9275-3464 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:39.389216+05:30
%A M. Premkumar
%A M. Kathiravan
%A R. Thirukkumaran
%T A Novel MAC Algorithm for Energy Aware Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 5
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many Medium Access Control (MAC) protocols have been specifically designed for Wireless Sensor Networks (WSN) where energy awareness is an essential design issue. Sensor nodes sense environmental conditions, such as light, temperature, sound, or vibration etc. , and transmit the sensed data to the sink node through multi-hop communication links. Energy awareness is one of the most important issues in WSNs. The radio transceiver is the most power consuming component in a sensor node. Transceiver power consumption is varying with different modes like transmit, receive, listen, and sleep. By using MAC protocol we can able to switch the radio interface into different modes. A new approach of an Energy Aware MAC (EA-MAC) algorithm is proposed in this paper. Also, we compare EA-MAC (proposed approach) with S-MAC (Sensor MAC) and ML-MAC (Multi-Layer MAC) based on Energy consumption, throughput and average end-to-end delay. From this comparison study, we conclude that EA-MAC algorithm is better in the case of consumed less energy and sending more data than S-MAC and ML-MAC.

References
  1. Balogh. G. , Frampton. K. , Kusy. B. , Ledeczi. A. , Maroti. M. , Nadas. A. , Pap. G. , Sallai. J. and Simon. G. 2004 Sensor network-based countersniper system, Proceedings of the Second International Conference on Embedded Networked Sensor Systems (Sensys), Baltimore.
  2. Ghosal. D. , Mukherjee. B. and Yick. J. 2005 Analysis of a Prediction-based Mobility Adaptive Tracking Algorithm, Proceedings of the IEEE Second International Conference on Broadband Networks.
  3. Castillo-Effen. M. , Jordan. R. , Quintela. D. H. and Westhoff. W. 2004 Moreno,Wireless sensor networks for flash-flood alerting, Proceedings of the Fifth IEEE International Caracas Conference on Devices, Circuits, and Systems, Dominican Republic.
  4. Alm. A. , Gao. T. , Greenspan. D. , Juang. R. R. , and Welsh. M. 2005. Vital signs monitoring and patient tracking over a wireless network, Proceedings of the 27th IEEE EMBS Annual International Conference.
  5. Clavel. A. , Fulford-Jones. T. R. F Lorincz. K. , Mainland. G. , Malan. D. , Moulton. S. , Nawoj. A. , Shnayder. V. and Welsh. M. 2004. Sensor networks for emergency response: challenges and opportunities, Pervasive Computing for First Response (Special Issue), IEEE Pervasive Computing.
  6. Johnson. J. , Lees. v, Lorincz. K. , Marcillo. O. , Ruiz. M. , Walsh. M. and Wener-Allen. G. , 2006. Deploying a wireless sensor network on an active volcano, Data-Driven Applications in Sensor Networks (Special Issue), IEEE Internet Computing.
  7. Estrin. D. , Heidemann. J. and Ye. W. 2002. An energy-efficient MAC protocol for wireless sensor networks. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2002), vol. 3. p. 1567–76.
  8. Joohwan Kim, Ness. B. , Prasun Sinha and Xiaojun Lin. 2010. Minimizing Delay and Maximizing Lifetime for Wireless Sensor Networks with Anycast. IEEE/ACM Transactions on Networking, VOL. 18, NO. 2.
  9. Roy. A. and Sarma. N. 2010. Energy Saving in MAC Layer of Wireless Sensor Networks: a Survey, National Workshop in Design and Analysis of Algorithm (NWDAA), Tezpur University, India.
  10. Deborah Estrin, John Heidemann, and Wei Ye. 2002. An energy-efficient mac protocol for wireless sensor networks. In Proceedings of the IEEE Infocom, pages 1567– 1576.
  11. Koen Langendoen and Tijs van Dam. 2003. An adaptive energy-efficient mac protocol for wireless sensor networks. In Proceedings of the First ACM SenSys Conference, pages 171–180.
  12. Culler. D. , Hill. J. and Polastre. J. 2004. Versatile low power media access for wireless sensor networks. In The Second ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 95–107.
  13. Decotignie. J. and El-Hoiydi. A. 2005. Low power downlink mac protocols for infrastructure wireless sensor networks. ACM Mobile Networks and Applications, 10(5):675–690.
  14. Network Simulator 2, available at http://www. isi. edu/nsnam/ns/.
Index Terms

Computer Science
Information Sciences

Keywords

Network lifetime layer duration Energy Aware MAC