INFOCOM'10 Proceedings of the 29th conference on Information communications
Balancing energy consumption with mobile agents in wireless sensor networks
Future Generation Computer Systems
Proceedings of the 44th Annual Simulation Symposium
Systematic selection of cluster heads for data collection
Journal of Network and Computer Applications
Energy equilibrium based on corona structure for wireless sensor networks
Wireless Communications & Mobile Computing
An energy-balancing clustering approach for gradient-based routing in wireless sensor networks
Computer Communications
A distributed lifetime guaranteed mechanism in cooperative personal networks
Computers and Electrical Engineering
Avoiding Energy Holes to Maximize Network Lifetime in Gradient Sinking Sensor Networks
Wireless Personal Communications: An International Journal
BER-based Power Scheduling in Wireless Sensor Networks
Journal of Signal Processing Systems
Efficient computation of balanced structures
ICALP'13 Proceedings of the 40th international conference on Automata, Languages, and Programming - Volume Part II
WSN in cyber physical systems: Enhanced energy management routing approach using software agents
Future Generation Computer Systems
Deployment strategy of WSN based on minimizing cost per unit area
Computer Communications
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Unbalanced energy consumption is an inherent problem in wireless sensor networks characterized by multihop routing and many-to-one traffic pattern, and this uneven energy dissipation can significantly reduce network lifetime. In this paper, we study the problem of maximizing network lifetime through balancing energy consumption for uniformly deployed data-gathering sensor networks. We formulate the energy consumption balancing problem as an optimal transmitting data distribution problem by combining the ideas of corona-based network division and mixed-routing strategy together with data aggregation. We first propose a localized zone-based routing scheme that guarantees balanced energy consumption among nodes within each corona. We then design an offline centralized algorithm with time complexity O(n) (n is the number of coronas) to solve the transmitting data distribution problem aimed at balancing energy consumption among nodes in different coronas. The approach for computing the optimal number of coronas in terms of maximizing network lifetime is also presented. Based on the mathematical model, an energy-balanced data gathering (EBDG) protocol is designed and the solution for extending EBDG to large-scale data-gathering sensor networks is also presented. Simulation results demonstrate that EBDG significantly outperforms conventional multihop transmission schemes, direct transmission schemes, and cluster-head rotation schemes in terms of network lifetime.