Hardness Results for the Power Range Assignmet Problem in Packet Radio Networks
RANDOM-APPROX '99 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization Problems: Randomization, Approximation, and Combinatorial Algorithms and Techniques
Strong Minimum Energy Topology in Wireless Sensor Networks: NP-Completeness and Heuristics
IEEE Transactions on Mobile Computing
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
Relay Node Deployment Strategies in Heterogeneous Wireless Sensor Networks
IEEE Transactions on Mobile Computing
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
Coverage problems in sensor networks: A survey
ACM Computing Surveys (CSUR)
IEEE Transactions on Wireless Communications
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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The use of wireless sensor networks (WSN) is a common situation nowadays. One of the most important aspects in this kind of networks is the energy consumption. In this work, we have added relay nodes to a previously defined static WSN in order to increase its energy efficiency, optimizing both average energy consumption and average coverage. For this purpose, we use two multi-objective evolutionary algorithms: NSGA-II and SPEA-2. We have statistically proven that this method allows us to increase the energy efficiency substantially and NSGA-II provides better results than SPEA-2.