Pipeline surveillance along the international border using hybrid optimization algorithm

Abstract

Pipelines are often used for transmission of oil, gas, water and other resources to neighboring countries. These pipelines often pose risk and sometimes intervene with national security. Hence, to safeguard the pipeline, various technological usage is often encouraged. Unlike traditional non-linear structure, pipeline systems demand linear structure. Pipeline systems are often setup for greater transmission distance, for maximum utilization. Linear communication in wireless sensor network is always a time-consuming aspect due to variability in the coordinator node selection. To cater the surveillance needs of such transmission pipeline systems, we propose a cost-efficient optimization scheme which enables the network for greater communication efficiency through which maximum coverage can be achieved. The proposed scheme uses a hybrid optimization approach which encompasses ACO-PSO-GA-LOA to address the routing challenges. The proposed hybrid scheme is evaluated against traditional optimization algorithm using metrics such as communication end-to end delay, network throughput and normalized lifetime. The simulation results establish the effectiveness of the proposed scheme.