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In this paper, we formulate coverage requirements of the sensor network as a minimum-cost connectivity guaranteed point k-coverage problem. An improved ant colony algorithm (EasiDesign) is proposed to achieve the approximate solution to this optimization problem. We made modifications in the convergence strategy and the ant state transition rule of the general ant colony optimization. Considering...
Due to long calculation time and slow convergence speed, ant colony system (ACS) cannot be used directly in wireless sensor networks (WSN). In this paper, we present an improved ACS algorithm based on Altitude Information (AI) and Ant Withdrawal (AW), named ACSA (an improved ACS algorithm with AI). The concept of AI is defined, and the design philosophy, algorithm realization and performance simulation...
The goal of this paper is to evaluate the efficiency of three versions of the well known gossip algorithm, namely: basic gossip, push-sum and broadcast, for the distributed solution of averaging problems. The main focus is on the impact of link failures that, reducing the network connectivity, decrease the convergence speed. As a similar effect occurs in non fully-meshed networks, because of a limited...
Many problems in sensor networks can be formulated as optimization problems. Existing distributed optimization algorithms typically rely on choosing a step size to ensure convergence. In this case, the communication between sensor nodes occurs each time the computations are carried out. Since in sensor networks, the energy required for communication can be significantly greater than the energy required...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
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