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Reseach Article

Energy Conservation Protocol using Sleep Scheduling in WSN

by Savita D. Gavande, Santosh Kumar Biradar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 14
Year of Publication: 2015
Authors: Savita D. Gavande, Santosh Kumar Biradar
10.5120/20047-2079

Savita D. Gavande, Santosh Kumar Biradar . Energy Conservation Protocol using Sleep Scheduling in WSN. International Journal of Computer Applications. 114, 14 ( March 2015), 23-25. DOI=10.5120/20047-2079

@article{ 10.5120/20047-2079,
author = { Savita D. Gavande, Santosh Kumar Biradar },
title = { Energy Conservation Protocol using Sleep Scheduling in WSN },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 14 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number14/20047-2079/ },
doi = { 10.5120/20047-2079 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:47.148014+05:30
%A Savita D. Gavande
%A Santosh Kumar Biradar
%T Energy Conservation Protocol using Sleep Scheduling in WSN
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 14
%P 23-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Network is made-up of large number of sensor node and one or more sink node. Sensor nodes are small in size and low in cost. Sensor network are equipped with sensor devices and powered by small size batteries. Since each sensor node has low energy, these nodes are usually put to sleep mode to conserve energy, and this helps to increase the network lifetime. Sleep scheduling algorithm should take care that data continuously routed form sensor node to sink node. In this paper we are going discuss sleep scheduling for sensor network using energy conservation protocol and tree integrated with proposed sleep scheduling algorithm. The root node in tree is sink node and other sensor nodes are branch nodes and leaf nodes. The leaf nodes are always put to sleep mode and branch nodes are remain awake. This ensures that path must exist from any sensor node to sink node. The tree is periodically reconstructed considering the remaining energy of each node by checking balance energy consumption of nodes, and removes the failed nodes from the tree. This proposed approach greatly minimize average energy consumption rate of all sensor node as we are putting more number of nodes in sleep mode. In this paper, we are proposing a novel Efficient Energy-Aware Routing Protocol (EEAR) to increase lifetime of sensor network by minimizing energy consumption and balancing load between all the sensor nodes. We are also going to discuss simple but efficient approach named intra cluster coverage to handle area coverage problem.

References
  1. L. Wang and Y. Xiao, A survey of energy-efcientschedul- ing mechanisms in sensor networks, Mob. Netw. Appl. , vol. 11, no. 5, pp. 723740, 2006.
  2. Cc2420 data sheet, http://www. stanford. edu/class/cs244e/ papers/cc2420. pdf.
  3. Heinzelman, W. ; Chandrakasan, A. ; Balakrishnan, H. Energy-Efficient Communication Protocolfor Wireless Microsensor Networks. In Proceedings of the 33rd Hawaii International Conferenceon System Sciences, Hawaii, HI, USA, 2000; pp. 1–10.
  4. Muruganathan, S. ; Ma, D. ; Bhasin, R. ; Fapojuwo, A. A Centralized Energy-Efficient Routing Protocol for Wireless Sensor Networks. IEEE Radio Commun. 2005, 43, 8–13.
  5. F. Ye, A. Chen, S. Lu, and L. Zhang, "A scalable solution to minimum cost forwarding in large sensor networks," in Computer Communications and Networks, 2001. Proceedings. Tenth International
  6. Nikoletseas, S. ; Spirakis, P. G. Probabilistic Distributed Algorithms for Energy Efficient Routing and Tracking in Wireless Sensor Networks. Algorithms 2009, 2, 121–157.
Index Terms

Computer Science
Information Sciences

Keywords

Energy Conservation Wireless Sensor Network (WSN).