Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks. (April 2017)

• Record Type: Journal Article
• Authors: Yi, Jun Min; Oh, Eom Ji; Noh, Dong Kun; Yoon, Ikjune
• Is Part Of: International journal of distributed sensor networks. Volume 13:Number 4(2017)
• Publication Date: 2017-04
• Subjects: Wireless sensor networks -- energy-harvesting -- data compression -- transmission range -- blackout time; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147717705785
• Languages: English
• ISSNs: 1550-1329

Abstract

Energy-harvesting nodes are now being employed in wireless sensor networks to extend the lifetime of the network by harvesting energy from the surrounding environments. However, unpremeditated energy consumption can incur energy problems, such as the blackout of nodes (due to their exceeding energy consumption over the amount of harvested energy) or inevitable disposal of harvested energy (in excess of the battery capacity). In this article, we propose an adaptive data compression and transmission range extension scheme that minimizes the blackout of sensor nodes and increases the amount of data collected at the sink node using the harvested energy efficiently. In this scheme, each node estimates the amount of harvested and consumed energy. When it determines that its remaining energy will exceed its storage capacity, it exploits the energy to compress the data or increase the transmission range. At this point, of the two methods, the method that can more effectively increase the network performance can be selected. The results of experiments conducted indicate that the proposed scheme significantly reduces the extent of node blackouts and increases the data collection rate of the sink node.