Abstract
In recent times, wireless energy transfer has become an effective solution to charge devices due to its efficiency and reliability. In a typical Wireless Rechargeable Sensor Networks (WRSN), wireless energy transfer technique can solve the energy depletion problem with the aid of a Wireless Charging Vehicle (WCV), thereby enabling the network to extend its lifetime. However, sensor nodes in a WRSN still have their energies depleted before it gets replenished by the WCV. In this paper, we proposed a scheme that prioritizes sensor nodes for charging and also developed efficient algorithms to improve on existing charging schemes so as to extend the lifetime of the WRSN. Firstly, an inspection algorithm was developed to visit and inspect sensor nodes in the network so as to determine the sensor nodes to charge. Secondly, a greedy charge algorithm was introduced to ascertain the shortest distance the WCV needs to travel and, lastly, an energy for nodes’ algorithm was proposed to determine the stopping point and when the WCV needs to return to the base station. Simulation experiments were also conducted to determine the performance of our scheme. The simulation experiments revealed that our proposed scheme made significant improvements when compared to other schemes in literature using several metrics.
Highlights
As the need for a more sustainable network continues to become more influential and significant, Wireless Sensor Networks (WSNs) in cyber-physical systems are seen as an ideal technology for data collection in various fields ranging from agricultural, military, and medical services to industrial production [1]
With the recent breakthrough in technology leading to the emergence of Wireless Rechargeable Sensor Networks (WRSN), Wireless Energy Transfer (WET) technology ensures that energy is transferred to sensor nodes in a WRSN without difficulty
The structure of the paper is outlined : Section 2 reviews the relevant literature related to this work; Section 3 describes the network and system models; Section 4 narrates the energy consumption, the problem to be solved in the WRSN; and our approach in detail; Section 5 presents the simulation analysis and discussion of our results, while Section 6 concludes the paper and suggests future works
Summary
As the need for a more sustainable network continues to become more influential and significant, Wireless Sensor Networks (WSNs) in cyber-physical systems are seen as an ideal technology for data collection in various fields ranging from agricultural, military, and medical services to industrial production [1]. This, was behind our motivation for this paper in delivering efficient and suitable scheduling and charging algorithms so as to effectively replenish depleting energies in sensor nodes of a WRSN. In the deterministic approach, charging individual sensor nodes in the WRSN is done periodically and this method does require explicit network information such as energy status and exact node location for its workability. This information can be very difficult or almost impossible to obtain, making it unfit for practical applications and large-scale deployment [3,14,15,16]. The structure of the paper is outlined : Section 2 reviews the relevant literature related to this work; Section 3 describes the network and system models; Section 4 narrates the energy consumption, the problem to be solved in the WRSN; and our approach in detail; Section 5 presents the simulation analysis and discussion of our results, while Section 6 concludes the paper and suggests future works
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