A lightweight DPT-MAC protocol to increase the network lifetime in wireless body area networks

IF 0.7 4区 数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Advances in Complex Systems Pub Date : 2023-05-13 DOI:10.1142/s1793962324410113
A. Roshini, K. V. D. Kiran
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Abstract

Evolution of Wireless sensor networks (WSN) has found its identity in Wireless Body Area Networks (WBAN) to monitor the health status of adults undergone a surgery, etc. In addition, the mobility of the sensor nodes deployed on/in the human body plays a vital role in maintaining the accuracy of the physiological signal. In this paper, a Distributed Posture-based Traffic-Medium Access Control (DPT-MAC) protocol is proposed where the sensor nodes follow the Disc Communication model for the detection of neighbor nodes based on the proximity of the sensing range. Further, the modified IEEE 802.15.4 superframe structure determines the potential sleep posture of a subject to ensure a collision-free data transmission and prioritize the data traffic based on the criticality of the data like critical, periodic and nonregular data. The critical data detection occupies the channel on high priority and will have the probability to access the other channel space during the contention period of the noncritical data. The regular guaranteed time slot (GTS) is reduced from the tradition number of slots to five, which allows the nodes to handle the throughput. This uninterrupted data transmission minimizes the delay rate and collision ratio with any number of sensor nodes as the channel synchronization is strictly followed using the Carrier Sense Multiple Access/Collision Avoidance mechanism. Here, the optimization of the network quality parameters like energy consumption, throughput, delay and collision ratio assures a guaranteed increase in the Network Lifetime. The results show that the distributed topology outperforms the conventional star topology in sustaining the Network Lifetime.
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一种轻量级DPT-MAC协议,用于增加无线体域网络中的网络寿命
无线传感器网络(WSN)的发展在无线体域网络(WBAN)中找到了自己的定位,用于监测成人手术等的健康状况。此外,部署在人体上/体内的传感器节点的移动性对维持生理信号的准确性起着至关重要的作用。本文提出了一种基于姿态的分布式流量介质访问控制(DPT-MAC)协议,该协议中传感器节点遵循圆盘通信模型,根据感知范围的接近程度来检测相邻节点。此外,改进的IEEE 802.15.4超帧结构确定受试者的潜在睡眠姿势,以确保无碰撞的数据传输,并根据关键数据、周期性数据和不规则数据等数据的临界性对数据流量进行优先排序。关键数据检测占据高优先级通道,在非关键数据争用期间有可能访问其他通道空间。将常规保证时隙(GTS)从传统的时隙数减少到5个,使节点能够处理吞吐量。这种不间断的数据传输最大限度地减少了与任意数量的传感器节点的延迟率和碰撞率,因为使用载波感知多址/避免碰撞机制严格遵循信道同步。在这里,优化网络质量参数,如能耗、吞吐量、延迟和碰撞率,确保了网络生命周期的保证增加。结果表明,分布式拓扑在维持网络生命周期方面优于传统的星型拓扑。
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来源期刊
Advances in Complex Systems
Advances in Complex Systems 综合性期刊-数学跨学科应用
CiteScore
1.40
自引率
0.00%
发文量
121
审稿时长
6-12 weeks
期刊介绍: Advances in Complex Systems aims to provide a unique medium of communication for multidisciplinary approaches, either empirical or theoretical, to the study of complex systems. The latter are seen as systems comprised of multiple interacting components, or agents. Nonlinear feedback processes, stochastic influences, specific conditions for the supply of energy, matter, or information may lead to the emergence of new system qualities on the macroscopic scale that cannot be reduced to the dynamics of the agents. Quantitative approaches to the dynamics of complex systems have to consider a broad range of concepts, from analytical tools, statistical methods and computer simulations to distributed problem solving, learning and adaptation. This is an interdisciplinary enterprise.
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