Swarm Intelligence And Wireless Sensor Networks Applications

With the advances of technologies in micro-electro-mechanics and wireless communication, it becomes feasible to deploy a large-scale wireless sensor network with thousands of tiny and inexpensive sensor nodes scattered over a vast field so that information of interest can be obtained, processed, transmitted, and fused automatically via node collaboration. Such wireless sensor networks have a wide-range of potential applications, both military and civil, including target tracking, surveillance, and environment control and security management.Swarm intelligence (SI) as a computational intelligence is attentioned by more and more researches. There exist the closed relations among artifical intelligence, evolution algorithm and genetic algorithm. It is widely accepted that swarm intelligence can solve many optimization problems. Our aim focus on SI and its applications in wireless sensor networks, including sensor wakeup control and routing. The main contributions are as fellows:1. Research on the swarm intelligence and propose the dynamic population size based particle swarm optimization. This algorithm not only improves the search ability but also decreases the computation cost.2. Research on the routing protocol of wireless sensor networks, an Ant Colony-Genetic Routing Algorithm is proposed for routing optimization design, in which the communication messages sent by nodes for searching the optimal route are treated as ants with limited life-span. Through the ants' movement back and forth between source nodes and sink nodes, multiple candidate routing paths can be distributedly obtained. Each candidate path is then considered as a gene sequence and through the selection, crossover and mutation operations on them, the optimal routing path is determined at sink node. The results show that ACGRA can save energy cost and increase the life-span. Besides this, the reliability and adaptation of the network is also improved.3. Research on self-organization of wireless sensor networks. We proposed Swarm...