Electromagnetic wireless nanosensor networks

Akyildiz, Ian F.; Jornet, Josep Miquel

doi:10.1016/j.nancom.2010.04.001

Cited by 585 publications

(412 citation statements)

References 91 publications

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“…Based on the joint model of energy harvesting and consumption, developed by Jornet and Akyildiz [1], [4], various factors are identified that can affect energy harvesting and consumption, and consequently network performance (e.g. delay, probability of successful transmission).…”

Section: Optimizing the Factors Of Energy Consumptionmentioning

confidence: 99%

“…Wireless nanosensor networks (WNSNs) [1] are a new generation of sensor networks at nano scale, which are envisioned to be produced in the coming years. Each nanonode is in the range of micro to nano meters in size.…”

Section: Introductionmentioning

confidence: 99%

“…The nanoscale property of nanonodes opens exciting new applications in the sensing domain. For example, nanosensors could detect chemical compounds at the molecular level or the presence of different infectious agents, such as viruses or harmful bacteria [1]. Similar to sensor networks, they can be used in many fields, such as biology, medicine, chemistry, and in environmental, military, industrial, and consumer goods [1].…”

Section: Introductionmentioning

confidence: 99%

“…For example, nanosensors could detect chemical compounds at the molecular level or the presence of different infectious agents, such as viruses or harmful bacteria [1]. Similar to sensor networks, they can be used in many fields, such as biology, medicine, chemistry, and in environmental, military, industrial, and consumer goods [1]. For example, nanosensors could be used to develop new touch surfaces or be added to standard office products (pens, papers, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, energy harvesting through vibrations has been proposed [1], [4] as the method for providing power.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing communication energy consumption in perpetual wireless nanosensor networks

Mohrehkesh

Weigle

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Abstract-This paper investigates the effect of various parameters of energy consumption for communication in pulse-based wireless nanosensor networks that exploit energy harvesting to supply energy. Finding the optimum combination of parameters to minimize energy consumption while satisfying the QoS requirements (e.g. delay and reliability) of communication is a challenging task. We model this problem as a multiobjective function problem. We evaluate the effect of packet size, repetition and code weight on this optimization problem. Through simulation, the effect of network parameters, i.e. topology and energy for pulse transmission/reception, on the optimization problem is studied as well. The model enables optimum energy consumption design in wireless nanosensor networks.

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Section: Optimizing the Factors Of Energy Consumptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Thus, energy harvesting through vibrations has been proposed [1], [4] as the method for providing power.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimizing communication energy consumption in perpetual wireless nanosensor networks

Mohrehkesh

Weigle

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Impact of a half‐space interface on the wireless link between tiny sensor nodes

2014

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The power budget of a wireless link between two electrically small sensor nodes located close to an interface between two media is studied. The model includes both the propagation channel losses and input impedance of the radio frequency antennas. It is shown that a highly inductive half‐space significantly enhances the received power due to the contribution of the surface wave while not resulting in considerable mismatch losses between the antennas and electronics. Hence, such a half‐space improves the link gain, which may compensate the limited energy available for transmission from electrically and physically small nodes.

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