The Research On Energy-balancing Cooperative Networking In Multi-sensors’ Environment

In today’s information age, people are willing to persue a more intelligent life. Therefore, wireless sensor network(WSN) has been widely concerned and applied in many fields. Generally in WSN, the energy supplied to sensors is limited. In order to save its own energy, each node tends to behave selfishly which may badly affect network’s overall performance. This thesis mainly researches on the topology control algorithm to balance the energy consumption in WSN and prolong the lifetime of network.For planar network, the thesis employs a game-theoretic approach which maps the problem of adjusting nodes’ powers dynamically into an ordinal potential game and designs a new utility function. The algorithm proposed is divided into three phases: initialization phase, power adaptation phase and stable phase. In power adaptation phase, node adopts best-response-based strategy to maximize its utility function. The simulation shows that it can optimize the topology and significantly prolong the network’s lifetime.For cluster-based network, this thesis proposes an energy-balancing topology control algorithm based on cooperative networking. This algorithm not only improves the cluster head election rule which takes both the energy available on a node and the average path loss between the node and its neighbors into consideration, making the distribution of cluster nodes more reasonable, but also establishes a cooperative method for cluster heads to forward data in multi-hop way. The simulation shows that it can efficiently balance the energy consumption and meanwhile increase the network’s throughput.