A Two-Stage Fuzzy Logic-Based Distributed Clustering Scheme for Precision Farmland Monitoring
Anagha Rajput, Vinoth Babu Kumaravelu, Arthi Murugadass, Vishnu Vardhan Gudla · 2021 Innovations in Power and Advanced Computing Technologies (i-PACT) · 2021
Agriculture is the major contributor of national revenue for many developing countries. The embryonic of Internet of things (IoT) and wireless smart sensor network (WSSN) for precision agriculture provides automated systems and quick services to farmers. Farmlands should be observed unceasingly to safeguard from crop-raiders, evaluate soil quality etc. for better reaping and productivity. The challenging issue of energy preservation of battery driven sensor nodes is tackled by employing clustering protocols. The main research issue is the best possible choice of cluster head (CH) in order to deal out network energy consumption. This paper proposes a fuzzy logic (FL) based self-organized clustering scheme for farmland monitoring. The data transmission distances of CH are decreased by inculcating super cluster head (SCH). The load balancing between the cluster members is accomplished by nominating an originator node, which executes the cluster formation. The proposed scheme functions in two stages. In stage one, CHs of the network are selected based on three input FL system. In stage two, SCHs are chosen among the CHs using two input FL system, making the network into two levelled structures. The proposed scheme has superior performance over the similar comparable protocols in terms of energy savings and stable network life span.