Fuzzy based Technique for Nodes Coverage with Load Balancing Data collection using Multiple Conflicting Factors
Anjali Anjali, Nidhi Nidhi, Kumkum Dubey, Prince Rajpoot, Amit Kumar Singh, Ajeet Kumar, Ritika Yaduvanshi · 2019
Due to wide application range in remote areas, Wireless Sensor Network (WSN) is an emerging field of research to prolong the lifetime. Since the battery is not replaceable so there is a need of efficient communication to prolong the lifetime. For this, many techniques are provided by many researchers like: clustering, routing, data aggregation etc. In clustering technique, the whole area is divided into many parts known as clusters. But clustering should be efficient to effect positively. Our aim is to provide load balancing with higher coverage of nodes. So, we have proposed a clustering algorithm based on three conflicting factors using fuzzy. The results positively support the algorithm in order to prolong the network lifetime.