Research On Topology Control Of Energy Consumption-Balanced Wireless Sensor Networks With Invulnerability

Wireless sensor networks are self-organized networks. The energy of sensor nodes are limited, and they are usually deployed in remote areas which people generally can not reach. The energy of sensor nodes is supplied by battery which is difficult to replace, the imbalanced energy consumption and inferior network invulnerability can both shorten the network lifetime. Therefore, it is significant for the research on topology control algorithm of energy consumption-balanced wireless sensor networks with invulnerability. The specific research contents in this paper are as follows.First of all, the vulnerability of scale-free topology in the face of selective attack can imbalance the energy consumption of wireless sensor networks. In order to solve this problem, a dynamic topology evolution algorithm which can balance the energy consumption and improve network invulnerability is proposed. In this algorithm, the influence of the distance between nodes and node residual energy to network lifetime is analyzed, and the influence relationship is introduced into the preferential mechanism of scale-free theory. In the process of topology evolution, the addition of new links and reduction of some old links are considered. The scale-free property is analyzed by the mean-field theory, and the invulnerability and balanced-energy consumption are verified by simulation experiments.Next, in order to determine and protect the critical nodes in wireless sensor networks, improve the invulnerability of network. Local information of node and energy factors are synthetically considered, an aggregative key node decision algorithm is proposed. In the local information of node, the influence of node degree, neighbor nodes degree and node aggregation coefficient to the key nodes decision is analyzed. In the energy factors, the residual energy of node and the added value of energy consumption when the node fails are studied. The key nodes determined by the algorithm are all-sided and efficient, the network which protects the key nodes has strong invulnerability.In the end, the key nodes are protected by weakening the influence of key nodes to the wireless sensor network. This method can balance the energy consumption of network, and promote the invulnerability of network. Therefore, an uneven clustering algorithm is proposed. According to the determine factors in the key node decision algorithm, a mechanism is established to elect temporary cluster heads. Then, the uneven clustering based on the node competition radius and communication cost is used to select the real cluster heads. This method can reduce the probability that the key nodes become the cluster heads. The optimal path can be obtained by improving the original ant colony algorithm. The pheromone, the improved visibility and node residual energy are mathematically formulated to calculate the probability of selecting next-hop node. The pheromone is updated by considering energy consumption and distance. Therefore, the optimal path obtained can minimize the communication energy consumption. This algorithm can balance the network energy consumption, promote the invulnerability of network, and prolong the network lifetime.