An Efficient Mobile Charger Based Scheduling for Design of Mobility-based Algorithms for Wireless Sensor Networks

Authors

  • Mahesh Wankhade Professor, Department of Computer Engineering, Sinhgad College of Engineering, Pune, India
  • Dharmendra Ganage Assistant Professor, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Pune
  • Yugendra Chincholkar Associate Professor, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Pune
  • Suchita Wagh Assistant Professor, Department of Electronics & Telecommunication Engineering, Modern Education Society's College of Engineering, Pune
  • Megha Wankhade Assistant Professor, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Pune

Keywords:

WSN, SN, MC, CH, WET, WDWWO

Abstract

Mobility in sensor nodes, targets, base stations, or charging vehicles can increase performance in a resource-constrained wireless sensor network (WSN) in terms of the energy economy, minimizing the latency with a longer lifespan, and increasing throughput. It is suggested to use mobile charger scheduling algorithms to recharge the SNs. According to the network scale, single and multiple mobile charger scheduling techniques are suggested in this context. When a new or developing request is received, the charging activity is interrupted when a single MC uses pre-emptive scheduling of the MC. This strategy increases the length of the mobile charger's journey path while maximizing its utility. Unfortunately, a single charger is unable to fulfil the needs of a big network, hence several chargers are required. As a result, multiple mobile charger scheduling for WSNs that is delay-tolerant is also suggested. This clustering algorithm groups the sensors into equal-sized clusters using a new K-medoid structure. The cluster head (CH) is then chosen using the WDWWO (Wind Driven Water Wave Optimization) algorithm, which considers both the distance to the cluster's midway position and the remaining energy. The mobile charger has a WET that may traverse the network either on demand or along a predetermined path to recharge the SNs. One or more chargers are utilized to recharge the SNs depending on the size of the WSNs. To validate the efficacy of the projected strategy, the performance of the projected algorithms is compared to that of a number of already-existing algorithms. From this, we can conclude that our suggested method achieves better charging scheduling to charge the lifetime important sensors than the current works based on the simulation results.

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Published

11.07.2023

How to Cite

Wankhade, M. ., Ganage, D. ., Chincholkar, Y. ., Wagh, S. ., & Wankhade, M. . (2023). An Efficient Mobile Charger Based Scheduling for Design of Mobility-based Algorithms for Wireless Sensor Networks. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 536–544. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3084

Issue

Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology

Section

Research Article

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