Modified Parallel Tunicate Swarm Algorithm and Application in 3D WSNs Coverage Optimization

<p>As the application of Wireless Sensor Networks (WSNs) in today’s society becomes more and extensive, status is getting higher higher, node layout sensors has also begun to attract social attention. In reality, coverage WSNs 3D space particularly important. Therefore, it worth investigating an efficient way find out maximum WSNs. this paper, a Modified Parallel Tunicate Swarm Algorithm (MPTSA) proposed based on modified parallelism, which can improve convergence algorithm optimal global solution. Next, MPTSA implemented tested 23 benchmark functions verify performance. Finally, network scheme whole network. Experimental results show that, compared with traditional PSO (Particle Optimization), improved (PPSO APSO), GBMO (Gases Brownian Motion Optimization) TSA, family algorithms better performance layout.</p> <p> </p>