资源受限环境下无线传感器网络节能路由协议的部署

Taiwo R. Oyedare, Agbotiname Lucky Imoize, Chibuike Gerald Ezekafor, S. Shetty
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引用次数: 8

摘要

无线传感器网络通常存在于资源受限的环境中,最关键的限制是能量或电池寿命。在大多数情况下,电池在运行过程中不能充电,在传输过程中不能更换,否则会影响服务质量。提出了一种有效延长移动无线传感器网络能量源寿命的路由协议。分层路由协议的寿命比直接路由协议提高了6倍以上。采用不同的参数集来获得仿真结果。本文使用了一个典型的医院布局样本。病房被分配了不同的传感器范围,描绘了落入这些带状区域集群的患者数量。服务中心的建立是为了确保每轮随机调动传感器/患者,以实现其中一个模拟选项。对基于非分层(直接)和低能量自适应聚类分层(LEACH)的路由协议进行了仿真。模型验证是在没有移动的情况下,使用正确分布的Wi-Fi传感器节点模块ESP8266建立真实生活测试来完成的。还对基站位置的影响进行了研究,并将结果制成表格。通过对分层路由的模拟和实时验证,电池和网络寿命得到了改善,从而大大提高了医疗保健服务的质量;降低了替代能源的成本。并将结果与其他同类文献进行了比较,以支持我们的结论。虽然比较结果不准确,但使用的参数可能会造成可容忍的差异。此外,不同的位置、不同的病房数、每个病房的传感器节点数以及其他建模参数的变化都不能得到相同的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deployment of an Energy Efficient Routing Protocol for Wireless Sensor Networks Operating in a Resource Constrained Environment
Wireless Sensor Networks often exist in a resource constrained environment and the most critical limitation is energy or battery life. In most cases, the batteries cannot be recharged during operation and cannot be replaced during transmission without interfering with the quality of service. An efficient routing protocol that can prolong the life span of the energy source for mobile wireless sensor network (WSN) is proposed in this paper. Hierarchical routing protocol improved the life span by more than six times compared to direct techniques. Sets of varied parameters were used to obtain simulation results. A sample typical of a hospital layout was used in this paper. Wards were assigned varied sensor range which depicts number of patients that fall into these banded regions of clusters. Service centers were created to ensure that random mobilization of sensors/patient per round is achieved for one of the simulation option. Simulation rounds were carried out for non-hierarchical (direct) and lowenergy adaptive clustering hierarchy (LEACH) based routing protocols. Model validation was done by setting up a real life test using Wi-Fi sensor node module ESP8266 properly distributed, and this was done without mobility. Effect of base station location was also investigated and results tabulated. With improved battery and network life span from both simulation and live validation for hierarchical routing, quality of service is greatly improved in health-care deliveries; cost of replacing energy sources is reduced. Results were also compared with other similar works to support our conclusion. Though results were not exact when compared, parameters used could cause tolerable difference. Furthermore, same result could not be achieved for different locations, varied number of wards, varied number of sensor nodes per wards as well as variations in other modeling parameters.
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