A Joint Duty-Cycle and Transmission Power Management for Energy Harvesting WSN

Castagnetti, Andréa; Pégatoquet, Alain; Le, Thanh Long; Auguin, Michel

doi:10.1109/tii.2014.2306327

Cited by 88 publications

(56 citation statements)

References 15 publications

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“…In addition, three other cases have been taken into account, i.e., in the first considering the mobile board (node) without the FLC implemented in it, the second developing the FLC without the PSO and, finally, the third applying the approach of Castagnetti et al [21]. The mobile board has been equipped with a 3.7 V lithium-ion battery.…”

Section: Resultsmentioning

confidence: 99%

“…Nonetheless, to compare the proposed solution with another similar work in the literature which aims to optimize the battery by varying the transmission power, in the performance evaluation, the approach of Castagnetti et al [21] has been taken into account. However, it is necessary to highlight that, to the best of our knowledge, there are no papers in the literature in which the PSO is applied for the optimization of an FLC to choose the communication mode in Bluetooth 5, through the transmission power variation, which allows the best energy management.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In fact, its implementation could be quite complex. The authors of [21] introduce a solution for joint duty-cycle and transmission power control management suitable for wireless networks. This approach takes into account the energy harvesting level as well as the wireless channel conditions.…”

Section: Introductionmentioning

confidence: 99%

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Bluetooth 5 Energy Management through a Fuzzy-PSO Solution for Mobile Devices of Internet of Things

2017

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Abstract:Energy efficiency is a fundamental requirement for a wireless protocol to be suitable for use within the Internet of Things. New technologies are emerging aiming at an energy-efficient communication. Among them, Bluetooth Low Energy is an appealing solution. Recently, the specifications of Bluetooth 5 have been presented with the purpose to offer significant enhancements compared to the earlier versions of the protocol. Bluetooth 5 comes with new communication modes that differ in range, speed, and energy consumption. This paper proposes a fuzzy-based solution to cope with the selection of the communication mode, among those introduced with Bluetooth 5, that allows the best energy efficiency. This communication mode, used by mobile devices, is dynamically regulated by varying the transmission power, returned as the output of a Fuzzy Logic Controller (FLC). A Particle Swarm Optimization (PSO) algorithm is presented to achieve the optimal parameters of the proposed FLC, i.e., optimizing the triangular membership functions, by varying their range, to reach the best results concerning the battery life of mobile devices. The proposed FLC is based on triangular membership functions because they represent a good trade-off between computation cost and efficiency. The paper presents a detailed description of the FLC design, a logical analysis of the PSO algorithm for the derivation of best performance conditions values, and experimental assessments, obtained through testbed scenarios.

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Section: Resultsmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

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Bluetooth 5 Energy Management through a Fuzzy-PSO Solution for Mobile Devices of Internet of Things

2017

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“…In our method, in addition to different forms of the cells, the transmission ranges of the nodes are adjusted dynamically. To the best of our knowledge, authors in [19] present the only similar approach. This approach is based on a joint duty-cycle optimization and transmission power control.…”

Section: Unified Power Control and Power Management Algorithmmentioning

confidence: 99%

“…The energy is comparable to the energy consumed in the other two modes. To reduce the energy consumption, the radio of the nodes in this mode may be turned off when they are not in use [17][18][19][20]. Turning off the radios when they are not in use is the basic idea of power management algorithms.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous power control and power management algorithm with sector-shaped topology for wireless sensor networks

Nickray

Afzali-Kusha

Jäntti

2015

J Wireless Com Network

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In this paper, we propose a topology control technique to reduce the energy consumption of wireless sensor networks (WSNs). The technique makes use of both power control and power management methods. The algorithm uses the power management technique to put as many idle nodes as possible into the sleep mode while invoking the power control method to adjust the transmission range of the active nodes. On the contrary to earlier works in which both of these methods were used separately, in this algorithm, they are utilized simultaneously to decide about the sleep nodes and the ranges of active nodes. It is an approximation algorithm which is called simultaneous power control and power management algorithm (SPCPM). The performance bound of this centralized algorithm is determined analytically. Then, to make the proposed method practical for WSNs, a distributed algorithm based on SPCPM is introduced. To assess the efficiency of the proposed algorithm, we compare its average energy consumption with those of three existing topology control algorithms for a sector-based WSN. The simulation results which were obtained for different numbers of transmitting sensor nodes reveal less average energy consumptions for SPCPM compared to other algorithms.

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