GreenNet: An Energy-Harvesting IP-Enabled Wireless Sensor Network

Varga, Liviu-Octavian; Romaniello, Gabriele; Vučinić, Mališa; Favre, Michel; Banciu, Andrei; Guizzetti, Roberto; Planat, Christophe; Urard, Pascal; Heusse, Martin; Rousseau, Franck; Alphand, Olivier; Duble, Etienne; Duda, Andrzej

doi:10.1109/jiot.2015.2425431

Cited by 51 publications

(37 citation statements)

References 37 publications

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“…If the number of phases φ is K in (12), the number of the carrier states is K × L. And when K = L = 2, the modulation is 4QAM, that is, to design and implement 4QAM backscatter modulator, four RC lumped impedances are connected to an antenna port through RF 4-1 Mux, each lumped impedance corresponding to different reflection coefficients. The design of 4QAM colocated backscatter communication systems with this procedure is given in Figure 3.…”

Section: Energy Condition For Nodementioning

confidence: 99%

“…However, the unpredictable environments such as the channel, the number of sensors, and challenges of the RF energy harvesting make the activities of the sensors difficult, including sensing, processing, and communicating by nodes with a given rate. So, an efficient energy management is necessary in order to guarantee sensors' activities and a QoS (quality of service) of backscatter communication [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Power Control for Passive QAM Multisensor Backscatter Communication Systems

Yan

et al. 2017

Journal of Sensors

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To achieve good quality of service level such as throughput, power control is of great importance to passive quadrature amplitude modulation (QAM) multisensor backscatter communication systems. First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. Especially, for a given consumed power of sensor, it can be seen that the throughput decreases with the duty cycle and the number of sensors has little effect on the throughput.

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Section: Energy Condition For Nodementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power Control for Passive QAM Multisensor Backscatter Communication Systems

Yan

et al. 2017

Journal of Sensors

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“…Since the ipv6 has a greater number of addresses, it can deal with all the devices expected to connect [20]. Based on the IPV, the 6LowPAN is created, which is a standard that uses ipv6 to allow sensor networks to communicate with other IP devices [21,22].…”

Section: Literature Reviewmentioning

confidence: 99%

Exploration and Construction of Smart Library Based on RFID Technology

Luo

Cao

Qian

2013

AMR

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Smart Campus is an entity of any kind that uses technology and infrastructure to support and improve its processes, so people can use them better. This paper reviews the literature to contextualize the Internet of Things and its vital importance for the Smart Campus, as well as its relationship with the concepts of cybersecurity and wireless sensor network. We describe the various interrelationships, tendencies, and future development of a Smart Campus, as well as the differences and similarities with the emerging concept of Smart University. This review revealed that the Internet of Things is involved in all fields and can influence and improve the university's processes to contribute to decision-making, technological development, and academic learning. To conclude, Smart University focuses on improving the infrastructure of universities through technology, with the main purpose of enhancing the quality of the education provided by institutions.

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“…Because of its intrinsic capability of self-sustainability, a lot of researches have been done on it; many of them focus on the high-efficient energy utilization [1][2][3]. As for this energy harvesting-wireless sensor networks (EH-WSN), the main challenge is to maximize its working performance under energy harvesting constraints, so studies on the MAC protocol, routing protocol, and cross layer optimization also obtain lots of achievements [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Power allocation and relay selection for energy efficient cooperation in wireless sensor networks with energy harvesting

Yin

Liu

2017

J Wireless Com Network

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In this paper, we investigate a joint power allocation and relay selection scheme for energy efficient cooperation in energy harvesting-wireless sensor networks (EH-WSN). We mainly propose a simple heuristic algorithm to improve the energy efficiency of each node in a clustering based EH-WSN. First, the effect of cooperative communication is evaluated, and then, the energy sustainability of every node is taken into account, finally, we formulate an online optimization problem which can be solved near optimally with low computational complexity. Extensive simulation results are presented to show the outstanding performance of our proposed scheme in nodes' transmitting power allocation and average working utility. Therefore, this joint optimization algorithm has a promising future in real applications.

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GreenNet: An Energy-Harvesting IP-Enabled Wireless Sensor Network

Cited by 51 publications

References 37 publications

Power Control for Passive QAM Multisensor Backscatter Communication Systems

Power Control for Passive QAM Multisensor Backscatter Communication Systems

Exploration and Construction of Smart Library Based on RFID Technology

Power allocation and relay selection for energy efficient cooperation in wireless sensor networks with energy harvesting

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