Mobility-Assisted Relocation for Multi-Objective Optimization in Mobile Sensor Networks
Coverage and lifetime are major issues in wireless sensor networks (WSN).Recent studies show that optimization of aforementioned issues can be achieved by further involving controlled mobility.As most proposals focus on exploiting full sensor mobility,research on relocating a relatively limited number of mobile sensors for multi-objective optimization is still missing.In this paper,we formulate sensor relocation as a multi-objective optimization problem.We consider a system model which is more practical than previous studies in problem formulation.We also propose a sensor relocation algorithm Controllable Mobility Scheme based on Genetic Algorithms (CMSGA).Finally,we apply the algorithm for simulations;the results demonstrate the benefit of utilizing limited sensor mobility in our approach,and they also suggest the effective improvements both in surveillance coverage and network lifetime.
wireless sensor network (WSN) controlled mobility lifetime coverage multi-objective optimization genetic algorithm (GA)
Zhen Chen Juan Wang Hui Wang Xiaohui Lin
College of Information Engineering,Shenzhen University Shenzhen,China
国际会议
重庆
英文
822-826
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）