AIPSO-Based Dynamic Node Deployment Strategy for Sensor Networks

The deployment of mobile nodes is one of the effective monitoring methods. Multipath routing in dynamic node deployment is an optimization problem. The standard PSO takes a long time to solve and is easy to fall into the local optimal value. Aiming at this problem, a particle swarm optimization algorithm based on artificial immune mechanism (AIPSO) is proposed to solve the multipath transmission optimization problem. Dynamic node deployment strategy based on AIPSO algorithm includes AIPSO algorithm and multipath transmission strategy. The proposed algorithm improves the diversity and convergence performance of particle swarm through concentration regulation mechanism. AIPSO algorithm reduces the moving distance of dynamic nodes on the whole and generates multiple paths with high fault tolerance. Compared with the other two improved particle swarm optimization algorithms, the performance of proposed method is better, the fault tolerance of network data transmission is improved, and the energy consumption is reduced.