Dividing a larger area into smaller subregions is a well addressed problem in Precision Agriculture (PA) where the existing application specific solutions (laboratory based) require human intervention and result in static region demarcation schemes. However, the boundary of a subregion is subject to change with various soil and environmental parameters. On the other hand, Wireless Sensor Networks (WSNs), a potential candidate to produce dynamic subregions due to its real-time decision making capability, are utilized as merely a data collection unit for PA.

In an attempt to introduce the in-network decision making feature of WSN in PA, design of a novel three layered WSN-CPS architecture is presented in this work and at layer-I the distributed mechanism for region demarcation is proposed. The proposed scheme identifies nodes based on data values and position information, that serve as the boundary of a subregion and data transmitters to the base station for final decision making. Existing methods for boundary node detection identify network boundary nodes (not designed to demarcate the interior boundary), coverage hole boundary nodes (identifies boundary nodes of a smaller portion in network), and event boundary nodes (not able to identify outer boundary). The proposed work identifies network boundary nodes, coverage hole boundary nodes, and the subregion boundary nodes accurately. It takes various critical situations into account while labelling of nodes and shows its reliability in node failure conditions. Impact of varying transmission range and number of nodes is analyzed on proposed mechanism via simulation. In a comparative study with recent network boundary node detection scheme, decrease of 32% and 30% is seen at 200 and 300 nodes respectively in terms of energy consumption.

在精密农业（PA）中，将较大的区域划分为较小的子区域是一个很好解决的问题，在该领域中，现有的特定于应用程序的解决方案（基于实验室）需要人工干预，并导致静态区域划分方案。但是，次区域的边界会随各种土壤和环境参数而变化。另一方面，由于其实时决策能力，无线传感器网络（WSN）作为产生动态子区域的潜在候选者仅被用作PA的数据收集单元。

为了介绍PA中WSN的网络内决策功能，本文提出了一种新颖的三层WSN-CPS体系结构设计，并在第I层提出了用于区域划分的分布式机制。所提出的方案基于作为子区域边界的数据值和位置信息以及向基站进行最终决策的数据发送器来标识节点。用于边界节点检测的现有方法识别网络边界节点（未设计为划分内部边界），覆盖孔边界节点（识别网络中较小部分的边界节点）和事件边界节点（无法识别外部边界）。提出的工作可以准确地识别网络边界节点，覆盖孔边界节点和子区域边界节点。在标记节点时，它考虑了各种紧急情况，并显示了其在节点故障条件下的可靠性。通过仿真分析了变化的传输范围和节点数对所提出机制的影响。在与最近的网络边界节点检测方案进行的比较研究中，就能耗而言，分别在200和300个节点上分别减少了32％和30％。