Smart Mobile Data Collectors to Enhance quality of service in Wireless Sensor Networks
Rahma Gantassi, Zaki Masood, Yonghoon Choi · Research Square · 2022
Abstract This paper proposes a new intelligent mobile data collector (MDC) using the traveling salesman problem (TSP) in order to find the optimal path traversed by the MDC for efficiency of energy and quality of service (QoS). Specifically, our proposed MDC-TSP protocol uses K-Means and grid clustering algorithm to reduce the consumption of energy during the cluster head (CH) election step. Furthermore, MDC is used as an interface between CH and sink to improve Wireless Sensor Network (WSN) QoS to enhance the MDC-K protocol transmission phase. Experimental results show that MDC-TSP improves on various improvements of the low energy adaptive clustering (LEACH) protocol like MDC-K.