Clustering Algorithm for Wireless Sensor Network via High Altitude Platform

Abstract

5G cellular network supports massive Machine Type Communication (mMTC) for Wireless Sensor Network (WSN) applications. In this paper, High Altitude Platform (HAP) is used to replace the Base Station (BS) as a sink node in the WSN. The designed HAP is 63 km in diameter and at an altitude of 20 km. The main obstacle of using WSN is the limited power possessed by each sensor node. One solution to overcome it is to use the clustering method. The clustering methods available thus far have not considered the movement of HAP. This research proposes a clustering algorithm for WSN through HAP that can anticipate the movement of HAP and support a very large number of nodes. Simulations have been down to assess the working mechanism of the proposed clustering algorithm and the effect of the movement of HAP on the number of sensor nodes that are not connected. From a series of simulations, it can be shown that the proposed clustering algorithm can anticipate the movement of HAP, so it can minimize the number of sensor nodes that are not connected.