1. Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy
- Author
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Christos Verikoukis, Elli Kartsakli, Angelos Antonopoulos, Prodromos-Vasileios Mekikis, Luis Alonso, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Universitat Politècnica de Catalunya. WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils
- Subjects
Wireless-Powered Sensor Network ,Computer science ,Distributed computing ,Clustered Poisson process ,Zero-Energy Networks ,050801 communication & media studies ,02 engineering and technology ,Network topology ,7. Clean energy ,Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors [Àrees temàtiques de la UPC] ,0508 media and communications ,Stochastic Geometry ,0202 electrical engineering, electronic engineering, information engineering ,Wireless ,Stochastic geometry ,Zero-energy networks ,Resource management ,Fading ,Electrical and Electronic Engineering ,Connectivity ,Wireless network ,business.industry ,Applied Mathematics ,05 social sciences ,020206 networking & telecommunications ,Wireless-powered sensor network ,Solar Harvesting ,Geometria estocàstica ,Wireless sensor networks ,Clustered Poisson Process ,Wireless communication systems ,Computer Science Applications ,Comunicació sense fil, Sistemes de ,Battery-less sensors ,Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils [Àrees temàtiques de la UPC] ,Solar harvesting ,Unicast ,business ,Wireless sensor network ,5G ,Xarxes de sensors sense fils - Abstract
©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 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.
- Published
- 2018