An Uneven Cluster-Based Mobile Charging Algorithm for Wireless Rechargeable Sensor Networks

Han, Guangjie; Guan, Haofei; Wu, Jiang; Chan, Sammy; Shu, Lei; Zhang, Wenbo

doi:10.1109/jsyst.2018.2879084

Cited by 89 publications

(42 citation statements)

References 31 publications

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“…Moreover, the remaining energy of MNs during three cycles has been illustrated in Figure 9. As observed, none of MNs deplete their energy during the cycles, which is achieved owing to present the relation (19). In the other word, this stems from employing the WMC-MN which charges the MNs as much as the perpetual operation of MNs during a cycle is guaranteed.…”

Section: B Performance Analysismentioning

confidence: 82%

“…An uneven cluster-based mobile charging (UCMC) algorithm is introduced in [19] which aims to decrease the variance of energy level of sensor nodes and enhance the operation time of the network. The main objective of their scheme is to reduce the number of non-active nodes.…”

Section: Related Workmentioning

confidence: 99%

“…This section evaluates the proposed FEDS scheme in terms of different evaluation metrics. The relevant WMCs based schemes, [19] and [21] are used to benchmark against the proposed FEDS scheme as the main aim of such schemes is to improve the network lifetime by determining the optimal moving trajectory of the WMCs. Figure 3 shows the remaining energy and energy consumption of CHs during a cycle.…”

Section: B Performance Analysismentioning

confidence: 99%

“…In addition, to recharge a large scale network, utilizing the clustering is the least expensive technique, which leads to decrease the charging latency through charging the multiple nodes simultaneously. In clustered WRSNs [19,20], WMC moves along clusters and charges the nodes located at the same cluster at the same time. In this type of the networks, it is necessary to dispatch two WMCs for charging the Cluster Heads (CH) and Member Nodes (MN) separately, which leads to achieving easier network management, latency reduction, and enhance the quality of service.…”

Section: Introduction a Backgroundmentioning

confidence: 99%

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Fair Energy Division Scheme to Permanentize the Network Operation for Wireless Rechargeable Sensor Networks

Almagrabi

2020

IEEE Access

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In the past years, the energy constraint problem is known as a design issue of Wireless Sensor Networks (WSNs) due to equipping the sensor nodes with limited power supplies. During the last few years, Wireless Rechargeable Sensor Networks (WRSNs) have gained researchers attention. In a WRSN, the sensor nodes are equipped with RF circuits, which enables them to receive energy from Wireless Mobile Chargers (WMC). However, most of the existing wireless charging algorithms consider the unlimited power budget for WMCs, which is the opposite of feasibility of a real network environment. Likewise, most of the previous works fail to take full advantage of WMC as it starts recharging the nodes when their energy level reaches a threshold, which leads to increasing the inactive time of WMC. Moreover, although previous works employed WMCs, the network lifetime is limited. However, optimal division of the energy of WMC among nodes can guarantee the perpetual network operation. Therefore, proposing an efficient method that jointly solves these challenges is required. In this paper, a new Fair Energy Division Scheme (FEDS) is presented, which undertakes the permanent network operation by optimizing the energy division at the beginning of each cycle. Simulation results exhibit that FEDS achieves perpetual network lifetime. In addition, the proposed scheme improves energy efficiency, (25%) compared to Uneven Cluster-based Mobile Charging (UCMC) and (75%) compared to Nearest-Job-Next Preemption NJNP; travelling time of WMC, (50%) compared to UCMC and (75%) compared to NJNP. In conclusion, the proposed protocol significantly improves network. INDEX TERMS perpetual network operation; wireless rechargeable sensor networks; mobile charger scheduling.

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Section: B Performance Analysismentioning

confidence: 82%

Section: Related Workmentioning

confidence: 99%

Section: B Performance Analysismentioning

confidence: 99%

Section: Introduction a Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Fair Energy Division Scheme to Permanentize the Network Operation for Wireless Rechargeable Sensor Networks

Almagrabi

2020

IEEE Access

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“…tial research interest due to wide range of applications, 20 including precision agriculture, habitat and environmental 21 monitoring, IoT-based smart cities, industrial manufactur- 22 ing, and so on [1]. However, energy constraint is the most 23 critical issue as sensor nodes are small battery-powered that 24 restricts their perpetual operation.…”

mentioning

confidence: 99%

A Fuzzy Logic-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks With Multiple Chargers

Tomar¹

2020

Preprint

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Mobile chargers have greatly promoted the wireless rechargeable sensor networks (WRSNs). While most recent works have focused on recharging the WRSNs in an on-demand fashion, little attention has been paid on joint consideration of multiple mobile chargers (MCs) and multi-node energy transfer for determining the charging schedule of energy-hungry nodes. Moreover, most of the schemes leave out the contemplation of multiple network parameters while making scheduling decisions and even they overlook<br>the issue of ill-timed charging response to the nodes with uneven energy consumption rates. In this paper, we address the aforesaid issues together and propose a novel scheduling scheme for on-demand charging in WRSNs. We first present an efficient network partitioning method for distributing the MCs so as to fairly balance their workload. We next adopt the fuzzy logic which blends various network parameters for determining the charging schedule of the MCs. We also formulate an expression to determine the charging threshold for the nodes that vary depending on their energy consumption rate. Extensive simulations are conducted to demonstrate the effectiveness and competitiveness of our scheme. The comparison results reveal that the proposed scheme improves charging<br>performance compared to the state-of-the-art schemes with respect to various performance metrics.<br>

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Traffic data reconstruction based on compressive sensing with neighbor regularization

Qin

Xia

et al. 2020

Trans Emerging Tel Tech

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The production and collection of the mass traffic data in the vehicle network will result in wasted bandwidth and data transmission delay. The mobile edge computing (MEC) technology is able to reduce the transmission cost and provide fast interactive response. However, the amount of data between roadside units (RSUs) and MEC servers has not decreased. Compressive sensing (CS) technology can reduce the sampling frequency and reconstruct the signal with even fewer samples than the sampling theorem requires. Therefore, in this article, we use CS technology to reduce the data in the "last mile" of traffic edge computing network. We propose two traffic data reconstruction models, which use different neighbor regularization methods in the objective function of CS reconstruction model. Different from the previous studies, we leverage the low-rank nature and the neighbor relationship between detectors to improve the reconstruction accuracy of different missing scenes. To validate the improved reconstruction models, we have carried out extensive experiments based on the actual traffic flow data of the freeway system under different loss rates and loss patterns. The missing data are caused by reduced sampling frequency and accidental transmission loss so that it is closer to the real fact. The experimental results show that even if the traffic data from the RSUs to MEC servers are decreased by 50%, the complete data can be reconstructed accurately.

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An Uneven Cluster-Based Mobile Charging Algorithm for Wireless Rechargeable Sensor Networks

Cited by 89 publications

References 31 publications

Fair Energy Division Scheme to Permanentize the Network Operation for Wireless Rechargeable Sensor Networks

Fair Energy Division Scheme to Permanentize the Network Operation for Wireless Rechargeable Sensor Networks

A Fuzzy Logic-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks With Multiple Chargers

Traffic data reconstruction based on compressive sensing with neighbor regularization

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