Cloud Genetic AntNet Algorithm Based Routing Optimization for Wireless Sensor Networks with Long-chain Tree Structure
To improve QoS of wireless sensor networks with long chain tree-like topology,this paper proposes a new cross-layer routing algorithm for wireless sensor networks-cloud model based genetic AntNet routing optimization algorithm.The forwards ants search for the feasible paths based on the load value in the new algorithm.These paths are considered as the initial population of the genetic algorithm.The codings of the paths are considered as chromosomes.The fitness function of the path is defined with delay,hop count and packet reception rate.The Y-conditional cloud generator is used as the cross operator,and the basic cloud generator is used as the mutation operator.The backwards ants update the pheromone of the optimal paths.The simulation results demonstrate that the routing algorithm can guarantee the real time,reliability and robustness of wireless sensor networks.It can also achieve the network load balancing and congestion control mechanism.