健康监测系统中关键数据的无拥塞传输

M. Shelke, Akshay Malhotra, P. Mahalle
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引用次数: 1

摘要

任何国家的发展都与社会的健康成正比。社会健康可分为三大类,即经济健康、身体健康和精神健康。良好的身心健康会导致国家的经济增长,从而导致整体增长。因此,物联网将健康产业作为主要应用之一。无线传感器网络已成为物联网(IOT)的重要组成部分。网络传感器要么戴在身上,要么嵌入我们的生活环境中,监测并收集丰富的健康信息。健康信息的智能使用可以促进对患者的适当治疗并减少人为干预。信息只有在及时到达目的地时才具有重要性。拥塞是无线传感器网络(WSN)面临的严峻挑战,因为它增加了传输延迟,降低了吞吐量和传感器寿命。为此,我们提出了基于粒子群优化(PSO)的路由协议,并结合有效的调度来防止高优先级数据丢失,提供无拥塞的数据流。在Network Simulator (NS2)软件中对该算法的性能进行了仿真,验证了算法的有效性。仿真结果与现有方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSO_based Congestion free Critical data transmission in health monitoring system
Growth of any country is directly proportional to the health of the society. Society health can be categorized into three classes i.e. economic, physical and emotional health. Good physical and emotional health leads to economic growth of country and hence, its overall growth. Hence IOT has considered health industry as one of the main applications. WSN has become an integral part of Internet of Things (IOT). Networked sensors either worn on the body or embedded in our living environment monitor and collect rich health information. Intelligent use of health information can facilitate suitable treatment to the patient and reduce human intervention. Information remains of importance only if it reaches in time to the destination. Congestion can be a severe challenge in Wireless Sensor Networks (WSN) as it increases transmission delay, reduces throughput and sensor lifetime. Hence we propose Particle Swarm Optimization (PSO) based routing protocol aided with efficient scheduling to prevent loss of high priority data and to provide congestion free data flow. The performance of the proposed algorithm is simulated in Network Simulator (NS2) software and the efficiency is verified. The simulation results are compared with that of an existing approach.
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