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Fuzzy based Secure Data Gathering Approach for Ad hoc Sensor Networks
Journal of Scientific & Industrial Research ( IF 0.7 ) Pub Date : 2020-07-09
Gopinath Samydurai, Gurumoorthy Kambatty Bojan, Bhanu Dharmarajan

Data gathering is one of the difficult tasks in Ad hoc Sensor networks. Sensor Networks consist of limited power sensor nodes located with high density and deployed for various applications such as military, industry and environmental tracking etc. However energy constraint of sensor nodes is one of the biggest challenges in sensor networks. Balancing of data gathering and energy efficiency is the biggest task in sensor networks. In the proposed system, Fuzzy based Secure Data Gathering Approach (FSDGA) is introduced based on slot based scheduling and asymmetric key crypto scheme. Cluster region is formed and Cluster Head (CH) is chosen through voting system to determine the remaining energy, node flexibility, connectivity ratio and node stability. The routes are found with authentication metric based on key identifiers to reduce the vulnerability of attackers. Mamdani Fuzzy decision scheme is introduced with data gathering algorithm to improve the data availability ratio.

中文翻译:

Ad hoc传感器网络基于模糊的安全数据收集方法。

数据收集是Ad hoc Sensor网络中的艰巨任务之一。传感器网络由有限的高密度功率传感器节点组成,并部署在各种应用中,例如军事,工业和环境跟踪等。然而,传感器节点的能量约束是传感器网络面临的最大挑战之一。数据收集和能源效率之间的平衡是传感器网络的最大任务。在提出的系统中,基于基于时隙的调度和非对称密钥加密方案,引入了基于模糊的安全数据收集方法(FSDGA)。形成群集区域,并通过投票系统选择群集头(CH),以确定剩余能量,节点灵活性,连接率和节点稳定性。使用基于密钥标识符的身份验证度量来找到路由,以减少攻击者的漏洞。引入了Mamdani Fuzzy决策方案和数据收集算法,以提高数据的可用性。
更新日期:2020-07-28
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