Abstract
Advances in medical and communication technologies have empowered the development of Wireless Body Area Networks (WBANs). WBANs interconnect with miniature sensors placed on the human body to enable medical monitoring of patient health. However, the limited battery capacity, delay, and reliability of data transmission have brought challenges to the wider application of WBAN. Minimum consumption of energy and maximum satisfaction with the QoS requirements are essential design aims of the WBAN schemes. Therefore, a fuzzy control-based energy-aware routing protocol (EARP) is proposed in this paper, the proposed protocol establishes a fuzzy control model composed of remaining node energy and link quality, and the best forwarder node is determined by the processes of fuzzification, fuzzy inference, and defuzzification. The simulation results showed that compared with the performance of the existing EERDT and M-TSIMPLE protocols, the proposed EARP has better performance, including extending network lifetime and improving the reliability of data transmission.
Highlights
With the continuous development of intelligent health, Wireless Body Area Network (WBAN), which is extended from Wireless Sensor Networks (WSNs) [1, 2], has attracted much attention [3]
The analysis reveals that energy-aware routing protocol (EARP) has less energy consumption than efficient and reliable data transfer (EERDT) and M-TSIMPLE, because EARP uses the fuzzy control model to quickly establish routing path and plans corresponding transmission paths in conformity with data types to balance network energy consumption
This paper proposes a fuzzy control based energy-aware routing protocol, which is used to effectively select forwarder node in WBANs
Summary
With the continuous development of intelligent health, Wireless Body Area Network (WBAN), which is extended from Wireless Sensor Networks (WSNs) [1, 2], has attracted much attention [3]. Existing multihop routing protocols attempt to consider the shortest path as the main influence factor when selecting forwarder node, ignoring the impact of link quality, which results in high power consumption in WBANs. the QoS requirements of different data should be met to comply with the characteristics of WBAN [14, 15], and the calculation of path cost needs a logical method to achieve. We propose a fuzzy control based energy-aware routing protocol, the novelty of this method is that it considers the mobility of sensor nodes and establishes a fuzzy control model with the parameters of residual energy and link quality, and the best forwarder node is determined logically by the processes of fuzzification, fuzzy inference, and defuzzification This method can improve the overall performance of the network.
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