首页> 外文期刊>NeuroQuantology: an interdisciplinary journal of neuroscience and quantum physics >An Energy Efficient AODV-CS Protocol for Neuro Healthcare Applications in WBASN
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An Energy Efficient AODV-CS Protocol for Neuro Healthcare Applications in WBASN

机译:WBASN中用于神经保健应用的高能效AODV-CS协议

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Wireless Body Area Sensor Network (WBASN) enables users to track the user information through body attached handheld devices. WBASN have been widely used in neuro and cognitive healthcare applications because of the raise in brain related medical issues. The information monitored through this sensor devices will be send to server periodically to analyze and make decision regarding users. However sharing these information with the server will be more complex process due to limitations of WBAN devices. WBAN devices are smaller in size and also limited to energy where it is required to concentrate on energy consumption to ensure the successful data transmission. And also in the rural areas with lesser network connectivity it is more complex to transmit the data. This is focused in this work to ensure the successful data communication even with lesser network connectivity and limited energy resource. In this research work Energy and Network Connectivity concerned Adhoc On-Demand Distance Vector Protocol (ENC-AODV) is introduced for successful data transmission. In this research work, initially node position estimation is done based on angular information. Based on this node position information node clustering is done by using Position and Distance aware Clustering algorithm. Here Improved Fuzzy C Means algorithm is introduced for clustering process. After clustering optimal cluster head selection is done using Crow Search Algorithm (CSA) where fitness values considered are residual energy, node’s signal strength, position of nodes and distance to sink node. Through this cluster head secured routing is enabled by authenticating the cluster members, thus selfish and malicious nodes can be eliminated from the routing process. Here authentication is done by using dynamic authentication which consists of four phases such as user registration, Access permission entry, Access detail updation and authentication. After authentication Hybrid Ad hoc On-demand Distance Vector-Cuckoo Search (AODV-CS) protocol is utilized to perform routing. In NS2 simulation environment, this research work is analysed experimentally. With optimized energy conservation, data can be transmitted successfully in an optimum way by this proposed protocol as indicated by the results of simulation.
机译:无线人体区域传感器网络(WBASN)使用户能够通过与身体相连的手持设备跟踪用户信息。由于脑相关医学问题的增多,WBASN已被广泛用于神经和认知保健应用中。通过该传感器设备监视的信息将定期发送到服务器,以分析并做出有关用户的决定。但是,由于WBAN设备的限制,与服务器共享这些信息将变得更加复杂。 WBAN设备尺寸更小,并且还局限于能源,在这些能源中,需要集中精力进行能耗以确保成功进行数据传输。在网络连接较少的农村地区,传输数据也更加复杂。这项工作的重点是确保即使在网络连接较少和能源有限的情况下也能成功进行数据通信。在这项研究工作中,引入了与能源和网络连接有关的Adhoc按需距离矢量协议(ENC-AODV),以成功进行数据传输。在这项研究工作中,最初的节点位置估计是基于角度信息完成的。基于该节点,通过使用位置和距离感知聚类算法完成位置信息节点聚类。这里介绍了改进的模糊C均值算法用于聚类过程。聚类后​​,使用Crow Search算法(CSA)完成了最佳簇头选择,其中考虑的适应性值为剩余能量,节点的信号强度,节点的位置以及到汇聚点的距离。通过此群集头,可以通过对群集成员进行身份验证来实现安全路由,从而可以从路由过程中消除自私和恶意节点。在这里,身份验证是通过使用动态身份验证来完成的,动态身份验证包括四个阶段,例如用户注册,访问权限条目,访问详细信息更新和身份验证。认证后,使用混合自组织按需距离矢量杜鹃搜索(AODV-CS)协议执行路由。在NS2仿真环境中,对这项研究工作进行了实验分析。仿真结果表明,通过优化的节能措施,可以通过此建议的协议以最佳方式成功传输数据。

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