Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks
IEEE Transactions on Computers
Energy optimal data propagation in wireless sensor networks
Journal of Parallel and Distributed Computing
Energy balanced data propagation in wireless sensor networks
Wireless Networks
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks
Pervasive and Mobile Computing
Power control schemes in wireless sensor networks for homecare e-health applications
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution
IEEE Transactions on Parallel and Distributed Systems
Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Receiver-oriented load-balancing and reliable routing in wireless sensor networks
Wireless Communications & Mobile Computing - Distributed Systems of Sensors and Actuators
Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Mobile Networks and Applications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Enhancement of wireless sensor network lifetime by deploying heterogeneous nodes
Journal of Network and Computer Applications
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Although multi-hop routing can reduce communication consumption and extend network scale, energy hole is unavoidable to appear because of the relay nodes being overloaded due to take more tasks. In this paper, we formulate the energy equilibrium problem as an optimal corona division, where data fusion and data slice are both considered in data gathering process. For a circular multi-hop sensor network with uniform node distribution and constant data reporting, we demonstrate that the energy equilibrium of the whole network is unable to be realized no matter whether data fusion and data slice are adopted. However, the maximum energy equilibrium for a given circular area can be achieved only if the area increases in geometric progression from the outer corona to the neighbor inner corona except for the outermost one. Moreover, we use a zone-based allocation scheme to guarantee energy equilibrium of intra-corona. The approach for computing the optimal parameters is presented in terms of maximizing network lifetime. Based on the mathematical model, we propose an energy equilibrium routing based on corona structure (EERCS). Simulating results validate that EERCS can effectively achieve energy equilibrium and prolong the lifetime of network. Copyright © 2010 John Wiley & Sons, Ltd.