Improving sensor network performance with wireless energy transfer.

Angelopoulos, C.M., Nikoletseas, S., Raptis, T.P., Raptopoulos, C. and Vasilakis, F., 2015. Improving sensor network performance with wireless energy transfer. International Journal of Ad Hoc and Ubiquitous Computing, 20 (3), 159 - 171.

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DOI: 10.1504/IJAHUC.2015.073169

Abstract

Through recent technology advances in the field of wireless energy transmission Wireless Rechargeable Sensor Networks have emerged. In this new paradigm for wireless sensor networks a mobile entity called mobile charger (MC) traverses the network and replenishes the dissipated energy of sensors. In this work we first provide a formal definition of the charging dispatch decision problem and prove its computational hardness. We then investigate how to optimise the trade-offs of several critical aspects of the charging process such as: a) the trajectory of the charger; b) the different charging policies; c) the impact of the ratio of the energy the Mobile Charger may deliver to the sensors over the total available energy in the network. In the light of these optimisations, we then study the impact of the charging process to the network lifetime for three characteristic underlying routing protocols; a Greedy protocol, a clustering protocol and an energy balancing protocol. Finally, we propose a mobile charging protocol that locally adapts the circular trajectory of the MC to the energy dissipation rate of each sub-region of the network. We compare this protocol against several MC trajectories for all three routing families by a detailed experimental evaluation. The derived findings demonstrate significant performance gains, both with respect to the no charger case as well as the different charging alternatives; in particular, the performance improvements include the network lifetime, as well as connectivity, coverage and energy balance properties.

Item Type:Article
ISSN:1743-8233
Uncontrolled Keywords:sensor networks; energy efficiency; wireless charging; wireless energy transfer; mobility; distributed algorithms; experimentation; performance.
Subjects:UNSPECIFIED
Group:Faculty of Science & Technology
ID Code:26517
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:24 Jan 2017 09:46
Last Modified:24 Jan 2017 11:45

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