Abstract
Information delivered through sensor networks is used in industries to increase quality of life (QoL). Lossless data in wireless sensor networks (WSNs) is a communications challenge that stands in the way of accurate data delivery. Although end-to-end data retransmission has evolved as a reliable mode of data transportation for the Internet, it is not applicable to WSNs due to the lack of reliable wireless links and resource constraints in sensor nodes. In this paper, we propose an efficient and reliable overhearing-based data transfer protocol for WSNs by introducing selective “direct acknowledgement (ACKdir)” or “implicit acknowledgement (ACKimp)” in cross-layer design. This protocol assesses the path (or link) quality and delegates the ACK message if it has good communication on paths. In addition, the protocol uses implicit ACK in order to be energy efficient, reducing traffic. Simulation results show that energy efficiency is improved by 30% compared with other approaches.
Highlights
In recent years, wireless sensor networks (WSNs) have expanded from simple environmental surveillance and information delivery systems to various mission critical applications such as Ubiquitous (u-) healthcare services, u-agriculture systems, and u-defense
We propose a Lightweight Reliable data Transmission (LiReTa) method using cross-layer information, which calculates the reliability of every path of the node using the power level received signal strength indicator (RSSI) value and the channel error rate of the node
pump-slowly fetch-quickly (PSFQ) helps to confirm LiReTa has good performance related to transmission time and total number of transmission
Summary
Wireless sensor networks (WSNs) have expanded from simple environmental surveillance and information delivery systems to various mission critical applications such as Ubiquitous (u-) healthcare services, u-agriculture systems, and u-defense. These applications require the reliable delivery of high-priority events to sinks, reliable control and management of the sensor network structure, and the capacity for remote programming/retasking of sensor nodes in a controlled, reliable, robust, and scalable manner [1]. Since sensor nodes are highly resource constrained, the design of reliable data transmission protocols is very challenging
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