研究了节点无移动能力的静态传感器网络中的栅栏覆盖问题.考虑在传感器节点具有有限移动能力时,如何构建如姗栏覆盖的问题:首先定义了1-栅栏覆盖最小移动距离和问题(1-barrier coverage min-sum of moving distance,简称1-BCMS).在网格划分模型情况下,将1-BCMS问题近似为1-网格栅栏最小移动距离和问题(1-grid barrier rain-sum of moving distance,简称1-GBMS).给出了1.GBMS问题的整数线性规划描述,证明了其是NP—hard的;然后提出了1-GBMS问题的近似算--CBGB(constructing baseline grid barrier)算法,能量高效地构建1-栅栏覆盖.仿真实验结果表明,CBGB算法的求解结果与最优解接近.最后,提出了一种基于分治策略的k-栅栏覆盖构建算法.该算法极大地降低了通信和计算开销.仿真实验验证了该算法的有效性和可扩展性.
This paper focuses on the energy efficient construction of a k-barrier coverage in mobile sensor networks. First, this paper formulates 1-BCMS (1-barrier coverage rain-sum of moving distance) problem for constructing 1-barrier coverage energy efficiently, reduces the 1-BCMS problem to 1-GBMS (1-grid barrier min-sum of moving distance) problem based on grid model, and present the reduced problem's Linear Programming Model and prove it to be NP-hard. Secondly, this paper presents a CBGB (constructing baseline grid barrier) algorithm to construct 1-barrier coverage energy efficiently. CBGB is an approximation algorithm for 1-GBMS problem and the solution of CBGB is close to the optimal solution. Finally, a Divide-and-Conquer algorithm is proposed to construct k-barrier coverage. This algorithm significantly reduces communication overhead and computation cost compared to other algorithms. Simulation demonstrates the effectiveness of the proposed algorithm in constructing k-barrier coverage.