Enhancing node connectivity by utilizing RSSI for ZigBee-based WSN
Sung Min Chung, Kyung Tae Kim, Junseok Song, Hee Yong Youn · 2016
ZigBee-based Wireless Sensor Network (WSN) is formed by a large number of sensor nodes each having limited connectivity. As a result, some nodes may become disconnected to the network, especially during the network configuration stage. The existing node connection scheme for WSN minimize the number of isolated nodes, but the distance between the connected nodes was not considered. In this paper we improve the scheme by proposing two methods, Gaussian filtering with averaging and Median method based on RSSI samples. The first method aims to achieve high accuracy, while the second one aims to minimize the computational overhead in node connection. Computer simulation demonstrates that the proposed approach allows each node to connect to the nearest child node with higher accuracy than the existing scheme, and thus maximizes power efficiency of the entire network.