Energy-aware Routing Algorithm in WSN using predication-mode

The paper presents a Predication mode based Routing Algorithm based on ACO (PRACO) to achieve the energy-aware data-gathering routing structure in wireless sensor networks (WSN). We adopt series model ARMA to analyze dynamic tendency in data traffic and deduce the construction of load factor, which can help to reveal the future energy status of sensor in WSN. By checking the load factor in heuristic factor and guided by novel pheromone updating rule, artificial ants can foresee the local energy state of networks and the corresponding actions could be adaptively taken to enhance the energy efficiency in routing construction. The simulation results show that the proposed routing building scheme can effectively reinforce the robustness of routing structure by mining the temporal associability and introducing ACO to balance the total energy cost for data transmission, which also contributes to minimize the total communication consumption, meanwhile, to prolong the lifetime of networks.