Optimal Tunnel Coverage Problem by One New Nature-Inspired Energy Conservation Optimization

This paper mainly provides one new nature inspired Energy Conversation Optimization (ECO) method tosearch for the optimal sensor position of sensor network in the typical tunnels, fully covering the tunnel anddynamically locating the high-speed train in the tunnel. Firstly, one objective of this study is to briefly intro-duce the framework of transmitting the sensor’s data in the railway network, the objectives and the constraintsof the optimal coverage problem. Secondly, another objective of this paper is to provide some fundamentalassumptions and concepts of ECO algorithm, together with the corresponding convergence analysis and themain steps of ECO algorithm. Additionally, the ECO algorithm is mainly utilized to address the optimaltunnel coverage problem. Numerical results mainly concentrate on the effectiveness of ECO algorithm com-paring with the PSO algorithm and deal with four typical optimal coverage problems in the presence of theline tunnel, the indirect line tunnel and the complicated tunnels, etc. Finally, the ECO algorithm can offerthe guideline for the smallest number of sensors and the corresponding positions in the given tunnel, fullycovering the whole tunnel and providing the location of high-speed trains.