覆盖率均衡区域覆盖算法

为了进一步实现无线传感器网络生命周期的最大化，针对网络中能量均匀且均衡覆盖问题展开研究，提出覆盖率均衡区域覆盖算法BRACA( Balanced Rate Area Coverage Algorithm)。该算法引入覆盖率均衡思想，将各传感器节点对目标区域覆盖率的均衡性与节点剩余能量的均衡性作为筛选因子，且通过调节传感器节点的剩余能量与其平均覆盖率的比例关系，筛选出最大不相关且代价最小的网络覆盖子集，以尽可能少的节点实现对区域的覆盖。经对比实验验证，算法BRACA具有更高的计算效率，所生成的ε-覆盖子集，以更少且更均衡的能量消耗，保证了网络覆盖率≥90%，有效地延长了网络生命周期。

Balanced Rate Area Coverage Algorithm

In order to maximize lifetime of Wireless Sensor Networks(WSNs),a balanced rate area coverage algo-rithm( BRACA) is presented,which aims at the problem of energy uniformity and balanced coverage. This algorithm introduces the idea of balanced coverage rate. And it considers the sensors’ balance about target area coverage rate and the residual energy as filtering factors. By adjusting the ratio of sensor’s residual energy to its average coverage rate,we can find a sensor subset with maximum uncorrelation and minimum cost, which achieves area coverage using nodes as few as possible. Experimental results show that BRACA has better computational efficiency. The ε-coverage sensor subset can prolong network lifetime effectively due to consuming the less and balanced energy in the premise of ensuring the network coverage of no less than 90% in the WSNs.