Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks
Pervasive and Mobile Computing
Spatial energy balancing through proactive multipath routing in wireless multihop networks
IEEE/ACM Transactions on Networking (TON)
A Global-Energy-Balancing Real-Time Routing in Wireless Sensor Networks
APSCC '07 Proceedings of the The 2nd IEEE Asia-Pacific Service Computing Conference
Neighborhood-Aware Density Control in Wireless Sensor Networks
SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution
IEEE Transactions on Parallel and Distributed Systems
Maximizing network lifetime based on transmission range adjustment in wireless sensor networks
Computer Communications
Design of Novel Node Distribution Strategies in Corona-Based Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Balancing energy consumption with mobile agents in wireless sensor networks
Future Generation Computer Systems
IEEE Communications Magazine
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Wireless sensor networks (WSN) follows a many-to-one traffic pattern by which the nodes near the static sink are more susceptible to faster energy depletion causing energy hole problem. In order to distribute the energy consumption uniformly across the network, a K-level based transmission-range scheme is proposed to achieve energy balance in the network. In this scheme, a sensor node determines its possible next hop nodes using a controlled region selection strategy based on value of K where K indicates the number of corona level jump. From among the possible next hop nodes, a node whose residual energy is maximum is chosen as the next hop. This avoids repeated and random selection of a node as next hop node which occurs in normal fixed transmission range scheme. Using K-level based transmission range scheme a new set of next hop nodes is selected every time a different K value is chosen during the renewal phase. By this the burden on nodes near the sink decreases and also energy balance among the nodes in the network is achieved thereby extending network lifetime. It is seen from simulation analysis that that K-level based transmission range scheme performs better than normal fixed transmission range scheme.