Wireless integrated network sensors
Communications of the ACM
Proceedings of the 8th annual international conference on Mobile computing and networking
Energy Efficient Design of Wireless Ad Hoc Networks
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Efficient clustering for improving network performance in wireless sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
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A sensor network consists of a large number of distributed wireless sensors which are equipped with low power wireless transceivers. Network lifetime, scalability, and load balancing are important requirements for many data gathering sensor network applications. Network clustering is an effective approach for achieving these goals wherein sensors are grouped into multiple clusters. Multihop data transmission may provide efficient energy conservation further. A sensor in a cluster may work as a cluster head for data gathering, aggregation, and report to the base station (BS). These tasks can also be performed by distinct sensors in the same cluster. In this paper, we clarify some characteristics of multi-hop data transmission. Furthermore, we propose a new data gathering approach for single-hop transmission wherein both the data gathering and the aggregation are performed by the same sensor in a cluster but the report to the BS may be done by a different sensor. The simulation results show that the proposed algorithm achieves better performance than other existing algorithms.