On Wireless Power Transfer and Max Flow in Rechargeable Wireless Sensor Networks

He, Tengjiao; Chin, Kwan-Wu; Soh, Sieteng

doi:10.1109/access.2016.2596776

Cited by 21 publications

(13 citation statements)

References 35 publications

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“…a DC voltage of 757 mV is generated at the output (Vo) with −10 dBm input RF power. The small difference between V2 2 = + (11) and Vo is due to the threshold voltage of the Schottky diodes [44], which is not negligible at low input RF power. Therefore, the performance of the voltage doubler depends on the input signal waveform (V1).…”

Section: B Multi-tone Signal Modelmentioning

confidence: 99%

“…he development of wireless power transmission (WPT) technologies [1], [2] that allow sensors [3], [4], mobile devices [5], implantable interfaces [6], [7] and RFID (Radiofrequency identification) [8] systems to operate without batteries, has inspired research interest to develop energy harvesting systems and techniques [1], [9], [10], [11], [12]. Although WPT is a promising solution to provide a viable energy source for Internet of Things (IoT) devices [13], efficient WPT is a challenging issue as it deals with the limited received power (due to the transmission regulation and the path loss in the far-field WPT).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multitone Excitation Analysis in RF Energy Harvesters—Considerations and Limitations

Shariati

Scott

Schreurs

et al. 2018

IEEE Internet Things J.

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The effect of multi-tone excitation on the DC response of a voltage-doubler RF (radio frequency) energy harvester is analysed. Theoretical analysis as well as frequency and time domain simulations were conducted to clarify the findings. Measurements were also carried out to validate the results. The measured, simulations and theoretical results are in good agreement. This paper focuses on evaluating the performance of a voltage doubler rectifier under multi-tone excitation (input power is the same in the single-tone and multi-tone case). Based on time domain and harmonic balance simulations, theoretical and measurement analyses, it is evident that the application of multiple tones simultaneously within the matched frequency band and with the same average available power results in a lower average output DC power when compared with the single-tone case with the same input power. This trend is evident over a broad low input power range of −50 to −10 dBm (0.01-100 µW).

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Section: B Multi-tone Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multitone Excitation Analysis in RF Energy Harvesters—Considerations and Limitations

Shariati

Scott

Schreurs

et al. 2018

IEEE Internet Things J.

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“…According to the observation above, many researches were aimed at integrating data gathering and the energy replenishment function in mobile vehicles. Using a mobile vehicle with a wireless charging function, He [22] proposed a novel way of "upgrading" the charging efficiency of "bottleneck" nodes. Guo [23] presented a framework that integrated wireless charging and mobile data gathering, which analyzed the causes of energy balance.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Dual-Mode Routing-Based Mobile Data Gathering Algorithm in Rechargeable Wireless Sensor Networks for Internet of Things

Tang

Guo

et al. 2020

Applied Sciences

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Great improvement recently appeared in terms of efficient service delivery in wireless sensor networks (WSNs) for Internet of things (IoT). The IoT is mainly dependent on optimal routing of energy-aware WSNs for gathering data. In addition, as the wireless charging technology develops in leaps and bounds, the performance of rechargeable wireless sensor networks (RWSNs) is greatly ameliorated. Many researches integrated wireless energy transfer into data gathering to prolong network lifetime. However, the mobile collector cannot visit all nodes under the constraints of charging efficiency and gathering delay. Thus, energy consumption differences caused by different upload distances to collectors impose a great challenge in balancing energy. In this paper, we propose an adaptive dual-mode routing-based mobile data gathering algorithm (ADRMDGA) in RWSNs for IoT. The energy replenishment capability is reasonably allocated to low-energy nodes according to our objective function. Furthermore, the innovative adaptive dual-mode routing allows nodes to choose direct or multi-hop upload modes according to their relative upload distances. The empirical study confirms that ADRMDGA has excellent energy equilibrium and effectively extends the network lifetime.

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“…As sensor nodes are generally designed for long term monitoring, their battery should be much larger than their energy consumption power, i.e., B c i . Consequently, the − − static, single [21] − data routing mobile [25] Chargers − static, multi [22] Chargers − data routing static, multi requirement of α i + c i x i ≤ B generally holds for all i, j.…”

Section: Wet Scheduling At Base Stationmentioning

confidence: 99%

Joint node deployment and wireless energy transfer scheduling for immortal sensor networks

Fischione

Xiao

2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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The lifetime of a wireless sensor network (WSN) is limited by the lifetime of the individual sensor nodes. A promising technique to extend the lifetime of the nodes is wireless energy transfer. The WSN lifetime can also be extended by exploiting the redundancy in the nodes' deployment, which allows the implementation of duty-cycling mechanisms. In this paper, the joint problem of optimal sensor node deployment and WET scheduling is investigated. Such a problem is formulated as an integer optimization whose solution is challenging due to the binary decision variables and non-linear constraints. To solve the problem, an approach based on two steps is proposed. First, the necessary condition for which the WSN is immortal is established. Based on this result, an algorithm to solve the node deployment problem is developed. Then, the optimal WET scheduling is given by a scheduling algorithm. The WSN is shown to be immortal from a networking point of view, given the optimal deployment and WET scheduling. Theoretical results show that the proposed algorithm achieves the optimal node deployment in terms of the number of deployed nodes. In the simulation, it is shown that the proposed algorithm reduces significantly the number of nodes to deploy compared to a random-based approach. The results also suggest that, under such deployment, the optimal scheduling and WET can make WSNs immortal.

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On Wireless Power Transfer and Max Flow in Rechargeable Wireless Sensor Networks

Cited by 21 publications

References 35 publications

Multitone Excitation Analysis in RF Energy Harvesters—Considerations and Limitations

Multitone Excitation Analysis in RF Energy Harvesters—Considerations and Limitations

Adaptive Dual-Mode Routing-Based Mobile Data Gathering Algorithm in Rechargeable Wireless Sensor Networks for Internet of Things

Joint node deployment and wireless energy transfer scheduling for immortal sensor networks

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