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.
Highlights
Wireless sensor networks (WSNs) are used to obtain various types of data for monitoring environments and conditions in (1) hard-to-reach areas such as disaster areas, military zones, and underwater areas, (2) wide areas such as forests, farmland, and seas, and (3) structures such as buildings and bridges
A node operating in selective mode, as shown in Figure 4, performs either data compression or transmission range extension
An energy consumption policy which is carefully designed by considering both the QoS requirements of application and the characteristics of the energy source is required in energy-harvesting WSNs
Summary
Wireless sensor networks (WSNs) are used to obtain various types of data for monitoring environments and conditions in (1) hard-to-reach areas such as disaster areas, military zones, and underwater areas, (2) wide areas such as forests, farmland, and seas, and (3) structures such as buildings and bridges. The surplus harvested energy is used to maximize the amount of data obtained by the sink node by reducing the energy consumption of the nodes near the sink node. To this end, the following two methods are utilized. It uses the expected surplus energy to maximize the network performance, for example, amount of data obtained at the sink node. To this end, the data compression method or transmission range extension method are utilized.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
