Ant colony for wireless sensor networks self-organization

In wireless sensor networks (WSN), it is a fundamental issue to balance the two conflicting performance indexes: sensing ability and energy cost. An adaptive and distributive self-organization (SO) algorithm is proposed, in which sensor node in the WSN is mapped to emotional ant in the ant colony system. By this means, the wakeup probability of nodes can then be optimized through the collaboration among ant colonies with swarm intelligence, so as to accomplish efficacious SO of WSN. In addition, the designing method of the performance indexes and relative parameters is depicted in the form of theorem. Simulation results show that the proposed algorithm maintains superior detection ability while waking up fewer nodes to detect.