Proceedings of the 2006 international conference on Wireless communications and mobile computing
An efficient integrity-preserving scheme for hierarchical sensor aggregation
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Medium-Contention Based Energy-Efficient Distributed Clustering (MEDIC) for Wireless Sensor Networks
International Journal of Distributed Sensor Networks
DoS detection in cluster-based sensor networks
CNIS '07 Proceedings of the Fourth IASTED International Conference on Communication, Network and Information Security
An unequal cluster-based routing protocol in wireless sensor networks
Wireless Networks
Modeling of coverage preserving algorithm using object oriented methodology with UML
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Prediction-based clustering algorithm for mobile wireless sensor networks
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Wireless Personal Communications: An International Journal
Development and performance evaluation of neural network classifiers for Indian internet shoppers
Expert Systems with Applications: An International Journal
Prolonging the lifetime of wireless sensor network via multihop clustering
NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Hierarchical role-based data dissemination in wireless sensor networks
The Journal of Supercomputing
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Clustering provides an effective way for extending the lifetime of a sensor network. In this paper, we propose a novel Voting-based Clustering Algorithm (VCA) for energy-efficient data dissemination in quasi-stationary sensor networks. This new approach lets sensors vote for their neighbors to elect suitable cluster heads. Unlike traditional distributed clustering algorithms, VCA combines load balancing, energy and topology information together by using very simple voting mechanisms. This new approach is completely distributed, location-unaware and independent of network size and topology. Simulation results show that our VCA can reduce the number of clusters by 5-25% and prolong the lifetime of a sensor network by 25-30% over that of existing energy-efficient clustering protocols.