Providing effective sensing coverage of an observation area with reduced set of working nodes for maximum duration of time is an important concern for the development of durable and energy efficient WSN applications. A well-organized network structure can greatly promote such requirements. Motivated by the use of computational geometry in network design, we propose a coverage-aware and efficient planar face topology structure (CAFT) for WSN in this paper. Also, a distributed target tracking algorithm is proposed to run on the proposed face structure. Most of the existing works utilize the face based WSNs which are built by generating planarized graphs using Gabriel graph or Relative neighborhood graph in which all the deployed nodes become a part of the created toplogy. In contrast to this, our proposed distributed topology construction method selects and organizes a subset of nodes into faces, ensures coverage and connectivity while retaining the remaining nodes in sleep mode which can reduce redundant communication that may result in extra energy consumption and cost. The sleep nodes can promote durable service time for the WSN as such nodes can act as replacement nodes in case of node faults and failures, reducing coverage hole formation in the WSN, which is crucial in critical tracking applications. The simulation results and comparison with existing techniques prove that the proposed design is effective in reducing the energy consumption and thereby improves the WSN lifetime.

在最长的持续时间内，以减少工作节点集的方式为观察区域提供有效的感测覆盖范围，是开发耐用且节能的WSN应用的重要考虑因素。井井有条的网络结构可以极大地提高这种要求。基于网络设计中计算几何的使用动机，我们提出了一种用于WSN的覆盖感知和有效的平面拓扑结构（CAFT）。此外，提出了一种分布式目标跟踪算法来在提出的人脸结构上运行。现有的大多数工作都利用基于面部的WSN，这些面部是通过使用Gabriel图或相对邻域图生成平面化图而构建的，其中所有部署的节点都成为所创建拓扑的一部分。与此相反，我们提出的分布式拓扑构建方法选择节点的一部分并将其组织为面部，在确保覆盖范围和连通性的同时将其余节点保持在睡眠模式，这可以减少冗余通信，从而可能导致额外的能耗和成本。睡眠节点可以延长WSN的持久服务时间，因为这样的节点可以在节点出现故障和故障时充当替换节点，从而减少了WSN中覆盖孔的形成，这在关键跟踪应用中至关重要。仿真结果和与现有技术的比较证明，该设计方案有效降低了能耗，从而延长了无线传感器网络的使用寿命。确保覆盖范围和连通性，同时将其余节点保持在睡眠模式，这可以减少冗余通信，从而可能导致额外的能耗和成本。睡眠节点可以延长WSN的持久服务时间，因为这样的节点可以在节点发生故障和故障时充当替换节点，从而减少了WSN中覆盖孔的形成，这在关键跟踪应用中至关重要。仿真结果和与现有技术的比较证明，该设计方案有效降低了能耗，从而延长了无线传感器网络的使用寿命。确保覆盖范围和连通性，同时将其余节点保持在睡眠模式，这可以减少冗余通信，从而可能导致额外的能耗和成本。睡眠节点可以延长WSN的持久服务时间，因为这样的节点可以在节点发生故障和故障时充当替换节点，从而减少了WSN中覆盖孔的形成，这在关键跟踪应用中至关重要。仿真结果和与现有技术的比较证明，该设计方案有效降低了能耗，从而延长了无线传感器网络的使用寿命。这对于关键跟踪应用至关重要。仿真结果和与现有技术的比较证明，该设计方案有效降低了能耗，从而延长了无线传感器网络的使用寿命。这对于关键跟踪应用至关重要。仿真结果和与现有技术的比较证明，该设计方案有效降低了能耗，从而延长了无线传感器网络的使用寿命。