University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Energy-efficient Clustering for Wireless Sensor Networks with Unbalanced Traffic Load

Wei, D, Navaratnam, P, Gluhak, A and Tafazolli, R (2010) Energy-efficient Clustering for Wireless Sensor Networks with Unbalanced Traffic Load In: IEEE Wireless Communications & Networking Conference, 2010-04-18 - 2010-04-21, Sydney.

Full text not available from this repository.


Clustering algorithms have been extensively applied for energy conservation in wireless sensor networks (WSNs). Cluster-heads (CHs) play an important role and drain energy more rapidly than other member nodes. Numerous mechanisms to optimize CH selection and cluster formation during the set-up phase have been proposed for extending the stable operation period of the network until any node depletes its energy. However, the existing mechanisms assume that the traffic load contributed by each node is the same, in other words, same amount of data are sent to CH from the member nodes during each scheduled round. This paper assumes the nodes contribute traffic load at different rates, and consequently proposes an energy-efficient clustering algorithm by considering both the residual node energy and the traffic load contribution of each node during the set-up phase. The proposed algorithm makes nodes with more residual energy and less traffic load contribution get more chances to become CHs. Furthermore, clusters are adaptively organized in a way that the deviation of ratio between the total cluster energy and the total cluster traffic load (ETRatio) is limited, in order to balance the energy usage among the clusters. Performance evaluation shows that the proposed algorithm extends the stable operation period of the network significantly

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Surrey research (other units)
Authors :
Wei, D
Date : 8 July 2010
DOI : 10.1109/WCNC.2010.5506172
Contributors :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 11:37
Last Modified : 23 Jan 2020 17:05

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800