Abstract
Wireless rechargeable sensor nodes can collect additional data, which leads to an increase in the precision of data analysis, when enough harvested energy is acquired. However, because such nodes increase the amount of sensory data, some nodes (especially near the sink) may blackout because more transmitted data can make relaying nodes expend more energy. In this paper, we propose an energy-aware control scheme of data compression and sensing rate to maximize the amount of data collected at the sink, while minimizing the blackout time. In this scheme, each dominant node determines the data quota that all its descendant nodes can transmit during the next period, which operates with an efficient energy allocation scheme. Then, the node receiving the quota selects an appropriate data compression algorithm and sensing rate according to both its quota and allocated energy during the next period, so as not to exhaust the energy of nodes near the sink. Experimental results verify that the proposed scheme collects more data than other schemes, while suppressing the blackout of nodes. We also found that it adapts better to changes in node density and harvesting environments.
Highlights
Wireless sensor networks (WSNs) have been used to collect environmental information in less accessible areas such as hazardous areas, battlefields, or deep water
We propose a data compression and sensing rate control scheme for wireless rechargeable sensor networks (WRSN) to address the above-mentioned problems and increase the precision of sensory data by increasing the amount of data acquisition
We propose a sensing rate control and compression algorithm selection scheme to increase the amount of data gathered within the allocated energy in a WRSN application, which periodically gathers environmental information
Summary
Wireless sensor networks (WSNs) have been used to collect environmental information in less accessible areas such as hazardous areas, battlefields, or deep water. Some of them are especially appropriate for solar energy, which has a large variation over time because it can be only harvested in the daytime Another problem of WSNs is a hot-spot problem [15,16], which occurs because sensor nodes generally transmit data in a multi-hop manner; the closer nodes are to a sink node, the more data they transmit and the more energy they consume. We propose a data compression and sensing rate control scheme for wireless rechargeable sensor networks (WRSN) to address the above-mentioned problems and increase the precision of sensory data by increasing the amount of data acquisition.
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