Constrained Pareto-Based Weighted-Sum ABC Algorithm for Efficient Sensor Networks Deployment

Wireless Sensor Network performance relies heavily on the effectiveness of the deployment strategy, particularly in building applications. However, the inherent conflicting nature among the optimization objectives poses a significant challenge to achieving a balanced solution. This paper addresses this issue by introducing a constrained Pareto-based deployment algorithm, combining the Artificial Bee Colony and the linear weighted-sum approach. The method is validated through simulations, showcasing the efficacy of theoretical research. The main contribution is the utilization of the bee algorithm to deal with the intrinsic nature of the sensor network. Moreover, a comprehensive procedure integrating the algorithm and the weighting decision-maker is presented to showcase practical application. Nevertheless, the model scope is limited in terms of coverage and energy perspective.