Abstract
Reliability and energy consumption are two of the main constraints in wireless sensor networks (WSNs). In this paper, a novel energy efficient and high speed error control scheme is introduced that is based on the Redundant Residue Number System (RRNS) allowing real-time application of WSNs. The proposed approach employs a new 3-moduli set [Formula: see text] and an efficient reverse converter which relies on the Mixed Radix Conversion (MRC) algorithm and achieves significant improvements both in terms of conversion delay and hardware design. In order to obtain error controllability, two-redundant-moduli set [Formula: see text] is also added to the main 3-moduli set. The theoretical results backed by simulation tests confirm that the solution put forward in this paper outperforms popular error control methods for WSNs in terms of error controllability, energy efficiency, and reduction of end-to-end delay.
Highlights
Wireless sensor networks with a large number of multifunctional low power sensor nodes have a broad range of applications, such as battlefield surveillance, environmental monitoring, disaster relief, and healthcare [1,2,3,4,5]
High speed operation is another critical issue in real time wireless sensor networks applications
In-network data aggregation which is proposed for energy conservation [7] and error control schemes such as Automatic Repeat reQuest (ARQ) and Forward Error Correction (FEC) is used to improve reliability
Summary
Wireless sensor networks with a large number of multifunctional low power sensor nodes have a broad range of applications, such as battlefield surveillance, environmental monitoring, disaster relief, and healthcare [1,2,3,4,5]. In FEC codes, to transmit data from sensor to the sink node, each aggregator must decode the received data, aggregate them with new data, and encrypt them again before sending to the sink node These operations cause a significant end-to-end delay and high energy consumption, which leads to a decrease in the network lifetime. It is necessary to develop a new solution that offers both low power consumption and guaranteed reliability as well as low end-to-end delay in real-time wireless sensor networks. Authors utilize RRNS to design a reliable, energy-efficient, and high speed algorithm for real time applications of wireless sensor networks.
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