Experimental Analysis of Recent Clustering Algorithms for Wireless Sensor Network: Application of IoT based Smart Precision Farming

Hemant B. Mahajan, Dr. Anil Badarla

The recent growth in the Internet of Things (IoT) technology suggests that it can help the farmers in many ways in their farming. The Smart Precision Farming (SPF) using the IoT gained significant attention of researchers since from the last decade to automate the various applications of farming to save the several resources and increase productivity. The functionality of SPF mainly depends on the sensor network deployed in farm areas. The sensors and actuators deployed across the farm using which farmers gain remote farms information related to temperature, soil moisture, fertilizer and water used, etc. periodically. The sensors deployed across the farm collects the periodic on-field data and transmit wirelessly towards the remote station for farm monitoring and decision-making processes. As the sensors are resource-constrained, the process of data collection and multi-hop transmission should be efficient in terms of energy consumption and Quality of Service (QoS) performances of data transmission. The clustering-based solutions proven to be effective for energy-efficient in Wireless Sensor Networks (WSNs), thus in this paper motive is to present the review of various recent clustering protocols. The clustering protocols of WSN can be applied to the smart precision agriculture to extend the network lifetime or farm sensor networks. After presenting the review of various clustering protocols, the IoT based WSN designed for smart precision agriculture application and apply two recent clustering protocols to evaluate their performances in terms of energy and QoS efficiency parameters. The networks are designed using the Zigbee protocol. The experimental results demonstrated the performances of clustering protocols by considering the SPF application of IoT enabled WSN.

Volume 11 | Issue 9

Pages: 116-125

DOI: 10.5373/JARDCS/V11I9/20193362