Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Negotiation-based protocols for disseminating information in wireless sensor networks
Wireless Networks - Selected Papers from Mobicom'99
OSPF: Anatomy of an Internet Routing Protocol
OSPF: Anatomy of an Internet Routing Protocol
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Energy-Aware Routing in Cluster-Based Sensor Networks
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Energy-aware data-centric routing in microsensor networks
MSWIM '03 Proceedings of the 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Scalable routing strategies for ad hoc wireless networks
IEEE Journal on Selected Areas in Communications
ANMP: ad hoc network management protocol
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
Cluster-based routing protocol has special advantages to enhance scalability and efficiency of the routing protocol. The technique to network clustering that maximizes the network lifetime is an important topic of research in wireless sensor networks. In this paper, we present an energy aware cluster-based routing algorithm (ECRA) for the wireless sensor networks such that the network lifetime can be maximized. ECRA randomly selects some nodes as cluster-heads to construct Voronoi diagram and rotates the intra-cluster nodes to distribute the energy load to all sensors in the network. The simulations show that ECRA algorithm outperforms than direct communication, static clustering and LEACH. The system lifetime of ECRA is approximately 2 times than LEACH. This is because the ECRA rotates intra-cluster-heads to balance the load to all nodes in the sensor networks.