Efficient dispatch of mobile sensors in a WSN with wireless chargers

Wang, You‐Chiun; Huang, Jiun-Wen

doi:10.1016/j.pmcj.2018.10.007

Cited by 8 publications

(2 citation statements)

References 42 publications

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“…Depending on the need for charging, the on-demanded CV scheduling strategy is proposed in [22] for recharging more nodes to sustain the longer lifetime. In [23], multiple battery-filled sensor nodes are used to replace the SNs, which are critical with their battery. However, this is expensive to replace the number of SNs and not secure.…”

Section: Single Charging Vehiclesmentioning

confidence: 99%

Mixed Linear Programming for Charging Vehicle Scheduling in Large-Scale Rechargeable WSNs

et al. 2022

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Because wireless sensor networks (WSNs) have low-constrained batteries, optimizing the network lifetime is a primary challenge. Rechargeable batteries are a solution to prolong the lifetime of a sensor node instead of restricting their functionalities to save energy. Wireless energy transmitters have the added benefit of providing a charger for the batteries of the sensor nodes in the WSN. However, scheduling one or more charging vehicles efficiently to recharge multiple sensor nodes is challenging. In this context, this paper provides a solution to recharge the sensor nodes using charging vehicle scheduling in WSNs through a mixed linear programming approach. Initially, we identify a heuristic value of each sensor node based on their residual energy, distance from a charging vehicle, available data packets, and other metrics. Further, a set of nodes is recharged by identifying the best charging vehicle to prolong their lifetimes, as well as the lifetime of the network as a whole. We simulated the proposed approach using a Python simulator, tested using different performance metrics, and compared using the recently published works. We notice the superior performance of the proposed work under various metrics in time and query-driven WSNs.

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Section: Single Charging Vehiclesmentioning

confidence: 99%

Mixed Linear Programming for Charging Vehicle Scheduling in Large-Scale Rechargeable WSNs

et al. 2022

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“…Optimization strategies based on task assignment have the ability of quick convergence in addition to escaping from local optima. A group-based mobile sensor dispatch algorithm was proposed in [29], which groups the monitoring events by their positions. The sensors are dispatched to each cluster of events to reduce and balance energy consumption during movement, and it greatly extends the lifetime.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient Coverage Enhancement Strategy for Wireless Sensor Networks Based on a Dynamic Partition Algorithm for Cellular Grids and an Improved Vampire Bat Optimizer

Zhao

Cui

Guo

et al. 2020

Sensors

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Sensor nodes perform missions based on the effectual invariable coverage of events, and it is commonly guaranteed by the determinate deployment for sensor nodes who deviate from the optimum site frequently. To reach the optimal coverage effect with the lowest costs is a primary goal of wireless sensor networks. In this paper, by splicing the sensing area optimally with cellular grids, the best deployment location for sensors and the required minimum number of them are revealed. The optimization problem of coverage rate and energy consumption is converted into a task assignment problem, and a dynamic partition algorithm for cellular grids is also proposed to improve the coverage effect when the number of sensors is variable. Furthermore, on the basis of solving the multi-objective problem of reducing and balancing the energy cost of sensors, the vampire bat optimizer is improved by introducing virtual bats and virtual preys, and finally solves the asymmetric assignment problem once the number of cellular grids is not equal to that of sensors. Simulation results indicate that the residual energy of sensors during redeployment is balanced notably by our strategy when compared to three other popular coverage-enhancement algorithms. Additionally, the total energy cost of sensor nodes and coverage rate can be optimized, and it also has a superior robustness when the number of nodes changes.

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WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches and Open Issues

Amutha

Sharma

Nagar

2019

Wireless Pers Commun

132

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Efficient dispatch of mobile sensors in a WSN with wireless chargers

Cited by 8 publications

References 42 publications

Mixed Linear Programming for Charging Vehicle Scheduling in Large-Scale Rechargeable WSNs

Mixed Linear Programming for Charging Vehicle Scheduling in Large-Scale Rechargeable WSNs

An Energy-Efficient Coverage Enhancement Strategy for Wireless Sensor Networks Based on a Dynamic Partition Algorithm for Cellular Grids and an Improved Vampire Bat Optimizer

WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches and Open Issues

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