Abstract
In solar-powered wireless sensor networks (SP-WSNs), the best use of harvested energy is more important than minimizing energy consumption since energy can be supplied periodically. Meanwhile, as is well known, the reliability of the communication between sensor nodes is very limited due to the resource constraints of sensor nodes. In this paper, we propose an efficient forward error correction (FEC) scheme which can give solar-powered wireless sensor networks more reliable communication. First, the proposed scheme provides energy-adaptive operation for the best use of solar energy. It calculates the amount of surplus energy which can be used for extra operations and then determines the number of additional parity bits for FEC according to this amount of surplus energy. At the same time, it also provides a link quality model that is used to calculate the appropriate number of parity bits for error recovery required for the current data communication environment. Finally, by considering these two parity sizes, it is possible to determine the number of parity bits that can maximize the data reliability without affecting the blacking out of nodes. The evaluation of the performance of the approach was performed by comparing the amount of data collected at the sink node and the number of blackout nodes with other schemes.
Highlights
A wireless sensor network (WSN) is composed of multiple wireless sensor nodes and is generally used to obtain environmental data, such as temperature, humidity and pressure, in a specific region
If more energy is collected than the battery capacity of a solar-powered node, the harvested energy can be disposed of; if the energy consumption in the node is higher than the harvested energy, the energy can be exhausted, and the node can be blacked out
Yang et al [22] proposed an energy-threshold model to calculate the amount of surplus energy that can be used for various purposes, in addition to the basic operation of each solar-powered node
Summary
A wireless sensor network (WSN) is composed of multiple wireless sensor nodes and is generally used to obtain environmental data, such as temperature, humidity and pressure, in a specific region. Because a wireless sensor node has limited hardware performance, the energy capacity of the battery is insufficient For this reason, many techniques have been studied to minimize the energy consumption of WSNs in various computer science research fields (e.g., networks, systems, security, and databases) [6,7,8]. The parity size must be limited because more energy is required to send and receive data as the parity size increases, as the parity bits piggy-back on the data packet For this reason, studies on the use of FEC schemes for reliable data communication while reducing energy consumption have been conducted [18,19]. We propose an enhanced FEC scheme, tailored for SP-WSNs, which considers both energy and channel conditions simultaneously to determine the parity size.
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