An energy optimization method for wireless sensor network

Energy optimization problem in wireless sensor network is related to network utilization and efficiency of information transmission and routing algorithm and it is the core issue of wireless sensor networks. Based on the coronas hierarchical model, this paper, using the Dijkstra shortest path algorithm to calculate the optimal sequence of transmission distance from the source node to the sink node, proposes a dynamic multi-path routing algorithm originated from the energy balance and the minimum energy of the network. In addition, when the nodes transmit information from outer coronas to inner, we use the q-switch algorithm, which allows each node have q types of nodes available to choose one with the maximum energy to keep the balance of the network. When the nodes from a corona run out of energy we can search the remaining distance sequence to achieve the optimal energy of the nodes through the dynamic routing method.