School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 637460, Singapore.
Centre for Information Sciences and Systems, Nanyang Technological University, Singapore 639798, Singapore.
Sensors (Basel). 2022 Dec 29;23(1):350. doi: 10.3390/s23010350.
For the area coverage (e.g., using a WSN), despite the comprehensive research works on full-plane coverage using a multi-node team equipped with the ideal constant model, only very few works have discussed the coverage of practical models with varying intensity. This paper analyzes the properties of the effective coverage of multi-node teams consisting of a given numbers of nodes. Each node is equipped with a radial attenuation disk model as its individual model of coverage, which conforms to the natural characteristics of devices in the real world. Based on our previous analysis of 2-node teams, the properties of the effective coverage of 3-node and -node (n≥4) teams in regular geometric formations are analyzed as generalized cases. Numerical analysis and simulations for 3-node and -node teams (n≥4) are conducted separately. For the 3-node cases, the relations between the side lengths of equilateral triangle formation and the effective coverage of the team equipped with two different types of models are respectively inspected. For the -node cases (n≥4), the effective coverage of a team in three formations, namely regular polygon, regular star, and equilateral triangular tessellation (for n=6), are investigated. The results can be applied to many scenarios, either dynamic (e.g., robots with sensors) or static, where a team of multiple nodes cooperate to produce a larger effective coverage.
对于区域覆盖(例如,使用 WSN),尽管已经有许多关于使用配备理想恒模型的多节点团队实现全平面覆盖的全面研究工作,但只有极少数工作讨论了具有变化强度的实际模型的覆盖范围。本文分析了由给定数量的节点组成的多节点团队的有效覆盖范围的特性。每个节点都配备了一个径向衰减盘模型作为其个体覆盖模型,这符合现实世界中设备的自然特性。基于我们之前对 2 节点团队的分析,作为广义情况,分析了规则几何形状中 3 节点和 -节点(n≥4)团队的有效覆盖范围的特性。分别对 3 节点和 -节点团队(n≥4)进行了数值分析和模拟。对于 3 节点情况,分别检查了等边三角形形成的边长与配备两种不同类型模型的团队的有效覆盖范围之间的关系。对于 -节点情况(n≥4),研究了三种编队(即正多边形、正星形和等边三角形镶嵌(对于 n=6))中团队的有效覆盖范围。这些结果可应用于许多场景,无论是动态(例如,带有传感器的机器人)还是静态,其中多节点团队合作以产生更大的有效覆盖范围。