Volume 2, Issue 2, June 2014, Pages 281–286
V. Saranraj1 and S. Balaji2
1 Department of Information Technology VRS College of engineering and technology Villupuram, Tamilnadu, India
2 Department of Computer Science and Engineering VRS College of engineering and technology Villupuram, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Unequal clustering is an elementary method for manipulative energy-efficient and mountable in distributed sensor networks. Heed* is top most dynamism efficient clustering protocol. By using this protocol, the message overhead is squat and cluster heads are circulated unequally across the entire network. In our distributed clustering protocol, heed*, which improves heed, leach and equal clustering of heed* protocol to realize energy adeptness with three methods: 1. Native clustering, i.e., whenever a cluster head guzzles a constraint part of its energy, it only notifies its participant nodes to hold cluster head designations for the forthcoming curved. Therefore, clustering is performed natively (in difference to performing it universally). 2. Dropping the number of message interactions and each iteration over abolishing redundant cluster head messages. 3. In heed*, each node with radical amount of residual energy is considered more eligible applicant for determination as a cluster overhead. Also, each node discovers a communication cost, and a consistent (non cluster skull) node picks the cluster skull with the lowest communication rate to connect to. Simulation results show that the protocol outstrips heed, leach and equal heed* protocol in standings of network lifetime.
Author Keywords: - HEED, HEED*, LEACH, Network Lifetime, Sensor Networks, Unequal Clustering, Sensor Networks.
V. Saranraj1 and S. Balaji2
1 Department of Information Technology VRS College of engineering and technology Villupuram, Tamilnadu, India
2 Department of Computer Science and Engineering VRS College of engineering and technology Villupuram, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Unequal clustering is an elementary method for manipulative energy-efficient and mountable in distributed sensor networks. Heed* is top most dynamism efficient clustering protocol. By using this protocol, the message overhead is squat and cluster heads are circulated unequally across the entire network. In our distributed clustering protocol, heed*, which improves heed, leach and equal clustering of heed* protocol to realize energy adeptness with three methods: 1. Native clustering, i.e., whenever a cluster head guzzles a constraint part of its energy, it only notifies its participant nodes to hold cluster head designations for the forthcoming curved. Therefore, clustering is performed natively (in difference to performing it universally). 2. Dropping the number of message interactions and each iteration over abolishing redundant cluster head messages. 3. In heed*, each node with radical amount of residual energy is considered more eligible applicant for determination as a cluster overhead. Also, each node discovers a communication cost, and a consistent (non cluster skull) node picks the cluster skull with the lowest communication rate to connect to. Simulation results show that the protocol outstrips heed, leach and equal heed* protocol in standings of network lifetime.
Author Keywords: - HEED, HEED*, LEACH, Network Lifetime, Sensor Networks, Unequal Clustering, Sensor Networks.
How to Cite this Article
V. Saranraj and S. Balaji, “Energy Efficient Clustering Protocol in Wireless Sensor Networks Using Local Cluster Head Selection Techniques,” International Journal of Innovation and Scientific Research, vol. 2, no. 2, pp. 281–286, June 2014.
