Energy Harvesting WSNs for Accurately Estimating the Maximum Sensor Reading: Trade-Offs and Optimal Design

Rao, Shilpa and Mehta, Neelesh B (2015) Energy Harvesting WSNs for Accurately Estimating the Maximum Sensor Reading: Trade-Offs and Optimal Design. In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 14 (8). pp. 4562-4573.

PDF IEEE_Tra_on_Wir_Com_14-8_4562_2015.pdf - Published Version Restricted to Registered users only Download (850kB) | Request a copy

Abstract

Computing the maximum of sensor readings arises in several environmental, health, and industrial monitoring applications of wireless sensor networks (WSNs). We characterize the several novel design trade-offs that arise when green energy harvesting (EH) WSNs, which promise perpetual lifetimes, are deployed for this purpose. The nodes harvest renewable energy from the environment for communicating their readings to a fusion node, which then periodically estimates the maximum. For a randomized transmission schedule in which a pre-specified number of randomly selected nodes transmit in a sensor data collection round, we analyze the mean absolute error (MAE), which is defined as the mean of the absolute difference between the maximum and that estimated by the fusion node in each round. We optimize the transmit power and the number of scheduled nodes to minimize the MAE, both when the nodes have channel state information (CSI) and when they do not. Our results highlight how the optimal system operation depends on the EH rate, availability and cost of acquiring CSI, quantization, and size of the scheduled subset. Our analysis applies to a general class of sensor reading and EH random processes.

Item Type:	Journal Article
Publication:	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information:	Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords:	Energy harvesting; wireless sensor networks; max function computation; fading; quantization
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	11 Sep 2015 04:56
Last Modified:	11 Sep 2015 04:56
URI:	http://eprints.iisc.ac.in/id/eprint/52336

Actions (login required)

View Item