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This thesis investigates the energy efficient coverage and connectivity problem in wireless sensor networks (WSNs), focusing on the deployment of heterogeneous sensors to optimize network cost and lifetime. It proposes mathematical formulations and an exact solution approach, alongside a multiobjective genetic algorithm to efficiently approximate solutions. The results demonstrate that the genetic algorithm effectively approximates the efficient frontier within reasonable computation times.

Author

cinaile534

Language

EN