论文部分内容阅读
传感器节点在高密度部署和满足一定覆盖条件下,有效地进行覆盖控制和减少能量消耗以及延长网络生命周期是无线传感器网络研究的重点课题,为此,提出一种分布式的度覆盖算法。该算法利用贪心算法和几何图形学相关理论知识对覆盖区域关键节点进行优化覆盖,通过节点状态调度机制转换,可以有效地降低网络能耗,提高了节点覆盖性能的同时优化了节点的数量。仿真实验结果表明,该算法能够以较小的代价提高整个网络的生存周期,有更好地适应性和稳定性。
Sensor nodes in high-density deployment and to meet the conditions of a certain coverage, effective coverage control and reduce energy consumption and extend the life cycle of the network is the key issue of wireless sensor networks. To solve this problem, a distributed coverage algorithm is proposed. The algorithm uses the greedy algorithm and geometry theory to optimize the coverage of the key nodes. By the node state scheduling mechanism, the algorithm can effectively reduce the network energy consumption, improve the node coverage performance and optimize the number of nodes. The simulation results show that this algorithm can improve the life cycle of the whole network with less cost, and has better adaptability and stability.