Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Lightweight time synchronization for sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks
ISMS '10 Proceedings of the 2010 International Conference on Intelligent Systems, Modelling and Simulation
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
A strategic deployment and cluster-header selection for wireless sensor networks
IEEE Transactions on Consumer Electronics
IEEE Communications Magazine
Node clustering in wireless sensor networks: recent developments and deployment challenges
IEEE Network: The Magazine of Global Internetworking
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Organizing sensor networks into clustered architectures is an effective approach for load balancing, and prolonging the network lifetime. This paper proposes a Distributed Energy Efficient Scheme to Cluster Wireless Sensor Networks (DESC). This protocol achieves energy efficiency using two techniques: on demand clustering and a multi-criteria cluster formation. Whenever a cluster head consumes a prespecified part of its energy, it indirectly informs other nodes to hold cluster head elections for the upcoming round. Therefore, clustering is performed sporadically (in contrast to performing it every round). In DESC, a node with higher amount of remaining energy is considered a more eligible candidate for election as a cluster head. Besides, each node computes a multi-criteria cost, and a regular (non-cluster head) node elects the cluster head with the most cost to connect to. Simulation results show that the protocol outperforms HEED and LEACH protocols in terms of network lifetime and energy savings.