The Improvement of DV-Hop Model and Its Application in the Security Performance of Smart Campus

In the smart campus, sensors are basic units in whole Internet of Things structure, which play role collecting information and transmitting it. How to transmits more at a certain power level has attracted attention many researchers. this paper, DV-Hop algorithm is optimized by combining simulated annealing-interference particle swarm optimization improve node localization wireless sensor networks enhance security performance campus. To address problem that easily falls into local optimum, perturbation mechanism introduced algorithm. Meanwhile, acceptance probability P annealing determine whether accepted when it “flies” new position, improves finding global optimal solution. Comparing average error rate algorithm, PSO-DV-Hop The results show greater advantage This will greatly safety efficiency