Research Article
Large Scale Energy Harvesting Sensor Networks with Applications in Smart Cities
@INPROCEEDINGS{10.1007/978-3-319-33681-7_18, author={Hossein Shafieirad and Raviraj Adve and Shahram ShahbazPanahi}, title={Large Scale Energy Harvesting Sensor Networks with Applications in Smart Cities}, proceedings={Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers}, proceedings_a={SMARTCITY360}, year={2016}, month={6}, keywords={Energy harvesting Energy outage rate Probabilistic energy causality constraint EH-aware opportunistic routing}, doi={10.1007/978-3-319-33681-7_18} }- Hossein Shafieirad
Raviraj Adve
Shahram ShahbazPanahi
Year: 2016
Large Scale Energy Harvesting Sensor Networks with Applications in Smart Cities
SMARTCITY360
Springer
DOI: 10.1007/978-3-319-33681-7_18
Abstract
Wireless sensor networks (WSNs), with a wide range of applications in smart cities (e.g. environmental monitoring, intelligent traffic management, healthcare), have energy self-sufficiency as one of the main bottlenecks in their implementation. Thanks to the recent advances in energy harvesting (EH), i.e., capturing energy from ambient sources, it is now a promising solution for low-power and low-rate WNSs. In this paper, we consider two open problems of practical importance to the data quality optimization problem. In this paper, first the probabilistic energy causality constraint for the online consideration of the EH scenarios is proposed. Our realistic assumptions consider causal energy state information, instead of the non-causal cases and the ones based on offline prediction studied in literature. In addition, we propose a novel EH-aware routing protocol, based on opportunistic relaying. This routing protocol is shown to have significant benefits in finding the best path with no prior knowledge of the topology and with minimal overhead, making it an efficient protocol for EH-WSNs.
