Information Exchange in Randomly Deployed Dense WSNs With Wireless Energy Harvesting Capabilities

Mekikis, Prodromos-Vasileios; Antonopoulos, Angelos; Kartsakli, Elli; Lalos, Aris S.; Alonso, Luis; Verikoukis, Christos

doi:10.1109/twc.2016.2514419

Cited by 71 publications

(55 citation statements)

References 35 publications

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“…Many of these works, i.e., [19], [20], discuss various network metrics, e.g., spatial throughput and coverage, but not the probability of connectivity, which guarantees the reliability of safety-critical applications. It is worth mentioning that [19] is among the first works that consider battery-less WEH-enabled devices.…”

Section: Related Workmentioning

confidence: 99%

Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Mekikis

Kartsakli

Antonopoulos

et al. 2018

IEEE Trans. Wireless Commun.

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Emerging 5G communication paradigms, such as machine-type communication, have triggered an explosion in ad-hoc applications that require connectivity among the nodes of wireless networks.Ensuring a reliable network operation under fading conditions is not straightforward, as the transmission schemes and the network topology, i.e., uniform or clustered deployments, affect the performance and should be taken into account. Moreover, as the number of nodes increases, exploiting natural energy sources and wireless energy harvesting (WEH) could be the key to the elimination of maintenance costs, while also boosting immensely the network lifetime. In this way, zero-energy wireless-powered sensor networks (WPSNs) could be achieved, if all components are powered by green sources. Hence, designing accurate mathematical models that capture the network behavior under these circumstances is necessary to provide a deeper comprehension of such networks. In this paper, we provide an analytical model for the connectivity in a large-scale zero-energy clustered WPSN under two common transmission schemes, namely unicast and broadcast. The sensors are WEH-enabled, while the network components are solar-powered and employ a novel energy allocation algorithm. In our results, we evaluate the tradeoffs among the various scenarios via extensive simulations and identify the conditions that yield a fully connected zero-energy WPSN.

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Section: Related Workmentioning

confidence: 99%

Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Mekikis

Kartsakli

Antonopoulos

et al. 2018

IEEE Trans. Wireless Commun.

Self Cite

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show abstract

“…Energy harvesting is a new paradigm which uses solar, thermal, wind and kinetic energy sources to power sensor nodes and consequently prolong network lifetime [181]. Among different energy harvesting methods, wireless energy harvesting (WEH) has proven to be one of the most promising solution for energy aware IoT devices, because of its simplicity, ease of implementation, and availability [180].…”

Section: Energy Related Technologiesmentioning

confidence: 99%

IoT’s Tiny Steps towards 5G: Telco’s Perspective

Cero¹,

Husić

Baraković

2017

Symmetry

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Abstract:The numerous and diverse applications of the Internet of Things (IoT) have the potential to change all areas of daily life of individuals, businesses, and society as a whole. The vision of a pervasive IoT spans a wide range of application domains and addresses the enabling technologies needed to meet the performance requirements of various IoT applications. In order to accomplish this vision, this paper aims to provide an analysis of literature in order to propose a new classification of IoT applications, specify and prioritize performance requirements of such IoT application classes, and give an insight into state-of-the-art technologies used to meet these requirements, all from telco's perspective. A deep and comprehensive understanding of the scope and classification of IoT applications is an essential precondition for determining their performance requirements with the overall goal of defining the enabling technologies towards fifth generation (5G) networks, while avoiding over-specification and high costs. Given the fact that this paper presents an overview of current research for the given topic, it also targets the research community and other stakeholders interested in this contemporary and attractive field for the purpose of recognizing research gaps and recommending new research directions.

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“…As can also be observed, although their orders of magnitude are similar, the simulated and measured curves do not fit perfectly. This can be explained by the fact that the selected analytical model is not sufficiently realistic since it does not take the conversion efficiency into account; in future work a model, such as the one proposed in [16], could be used instead. We have then used the RF-EH circuit to power the MSP-EXP430G2 kit (configured as a wired temperature sensor).…”

Section: Powering the Nodes With Rf-ehmentioning

confidence: 99%

Operating Wireless Sensor Nodes without Energy Storage: Experimental Results with Transient Computing

Ahmed

Muhammad

et al. 2016

Electronics

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Abstract:Energy harvesting is increasingly used for powering wireless sensor network nodes. Recently, it has been suggested to combine it with the concept of transient computing whereby the wireless sensor nodes operate without energy storage capabilities. This new combined approach brings benefits, for instance ultra-low power nodes and reduced maintenance, but also raises new challenges, foremost dealing with nodes that may be left without power for various time periods.Although transient computing has been demonstrated on microcontrollers, reports on experiments with wireless sensor nodes are still scarce in the literature. In this paper, we describe our experiments with solar, thermal, and RF energy harvesting sources that are used to power sensor nodes (including wireless ones) without energy storage, but with transient computing capabilities. The results show that the selected solar and thermal energy sources can operate both the wired and wireless nodes without energy storage, whereas in our specific implementation, the developed RF energy source can only be used for the selected nodes without wireless connectivity.

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Information Exchange in Randomly Deployed Dense WSNs With Wireless Energy Harvesting Capabilities

Cited by 71 publications

References 35 publications

Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

IoT’s Tiny Steps towards 5G: Telco’s Perspective

Operating Wireless Sensor Nodes without Energy Storage: Experimental Results with Transient Computing

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