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针对含障碍物的确定性区域内无线传感器网络部署问题进行研究.首先建立节点探测模型和网络部署质量评价方式;然后基于含误警率的概率模型提出一种新的部署方法,即采用分水岭算法选取候选部署区域,以Delaunay剖分算法产生新增节点的候选部署位置,从而实现传感器节点的有序高效部署.仿真结果表明,与随机部署、最大平均覆盖(MAX_MIN_COV)和最大最小覆盖(MAX_AVG_COV)等算法相比,所提出的策略能取得更好的覆盖探测概率和覆盖一致性.
Aiming at the problem of deployment of wireless sensor networks in deterministic regions with obstacles, a node detection model and a network deployment quality evaluation method are first established. Then, a new deployment method is proposed based on the probability model with false alarm rate, that is, the watershed algorithm The candidate deployment regions are selected to generate candidate deployment locations of new nodes by Delaunay subdivision algorithm, so as to achieve an orderly and efficient deployment of sensor nodes. The simulation results show that, compared with random deployment, MAX_MIN_COV and MAX_AVG_COV, Compared with other algorithms, the proposed strategy can achieve better coverage probabilities and coverage consistency.