Simulating networks of wireless sensors
Proceedings of the 33nd conference on Winter simulation
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks
IEEE Transactions on Knowledge and Data Engineering
A dynamic multiobjective hybrid approach for designing wireless sensor networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An optimal node scheduling for flat wireless sensor networks
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part I
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The increasing demand for Wireless Sensor Networks (WSN) has intensified studies which aim to obtain energy-efficient solutions, since the energy storage limitation is critical in those systems. However, there are other aspects which usually must be ensured in order to get an acceptable performance of WSNs, such as area coverage and network connectivity. This paper proposes a procedure for network performance enhancement: a multiobjective hybrid approach for solving the Dynamic Coverage and Connectivity Problem in flat WSN subjected to node failures.Results achieved for a test instance show that the hybrid approach can improve the performance of the WSN obtaining good solutions with a considerably smaller computational cost than ILP.