Title

Active Time Scheduling For Rechargeable Sensor Networks

Keywords

Energy harvesting; Rechargeable; Sensor network

Abstract

Recent progress in energy harvesting technologies made it possible to build sensor networks with rechargeable nodes which target an indefinitely long operation. In these networks, the goal of energy management is to allocate the available energy such that the important performance metrics, such as the number of detected threats, are maximized. As the harvested energy is not sufficient for continuous operation, the scheduling of the active and inactive time is one of the main components of energy management. The active time scheduling protocols need to maintain the energy equilibrium of the nodes, while considering the uncertainties of the energy income, which is strongly influenced by the weather, and the energy expenditures, which are dependent on the behavior of the targets. In this paper, we describe and experimentally compare three active time scheduling protocols: (a) static active time, (b) dynamic active time based on a multi-parameter heuristic and (c) utility-based uniform sensing. We show that protocols which take into consideration the probabilistic models of the energy income and expenditure and can dynamically adapt to changes in the environment, can provide a significant performance advantage. © 2009.

Publication Date

3-19-2010

Publication Title

Computer Networks

Volume

54

Issue

4

Number of Pages

631-640

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.comnet.2009.08.004

Socpus ID

77349083727 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77349083727

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