Adaptive Optimization for Optimal Mobile Sink
Placement in Wireless Sensor Networks
Arikrishnaperumal
Ramaswamy Aravind1 and Rekha Chakravarthi2
1Department of Electronics and Communication
Engineering, Sathyabama Institute of Science and Technology, India
2School of Electrical and Electronics, Sathyabama
Institute of Science and Technology, India
Abstract:
In recent years, Wireless
Sensor Networks (WSN) with mobile sinks has attracted much attention as the
mobile sink roams over the sensing field and collects sensing data from sensor
nodes. Mobile sinks are mounted on moving objects, such as people, vehicles,
robots, and so on. However, optimal placement of the sink for the effective
management of the WSN is the major challenge. Hence, an adaptive Fractional
Rider Optimization Algorithm (adaptive-FROA) is developed for the optimal
placement of mobile sink in WSN environment for effective routing. The adaptive
FROA, which is the integration of the adaptive concept in the FROA, operates
based on the fitness measure based on distance, delay, and energy measure of
the nodes in the network. The main objective of the research work is to compute
the energy and distance. The proposed method is analyzed based on the metrics,
such as energy, throughput, distance, and lifetime of the network. The simulation
results reveal that the proposed method acquired a minimal distance of 24.87m,
maximal network energy of 94.54 J, maximal alive nodes of 77, maximal
throughput of 94.42 bps, minimum delay of 0.00918s, and maximum Packet delivery
ratio (PDR) of 87.98%, when compared with the existing methods.
Keywords: Mobile sink, wireless sensor network,
fractional concept, rider optimization algorithm, routing.
Received October 14, 2019; accept January 13, 2021