Computer Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
Sensors (Basel). 2019 Mar 26;19(6):1467. doi: 10.3390/s19061467.
The Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, it must be compatible with WSNs and MANETs. In light of this, the present paper discusses a novel quantitative trust model for an IoT-MANET. The proposed trust model combines both direct and indirect trust opinion in order to calculate the final trust value for a node. A Beta probabilistic distribution is used to combine different trust evidences and direct trust has been calculated. The theory of ARMA/GARCH has been used to combine the recommendation trust evidences and predict the resultant trust value of each node in multi-step ahead. Further, a routing protocol has been designed to ensure the secure and reliable end-to-end delivery of packets by only considering trustworthy nodes in the path. Simulation results show that our proposed trust model outperforms similar existing trust models.
物联网（IoT）是一个异构网络，由各种类型的无线网络组成，如无线传感器网络（WSNs）、ZigBee、Wi-Fi、移动自组织网络（MANETs）和 RFID。为了使物联网在智能环境中成为现实，对最终用户更具吸引力，并在经济上取得成功，它必须与 WSNs 和 MANETs 兼容。有鉴于此，本文讨论了一种新颖的物联网-MANET 定量信任模型。所提出的信任模型结合了直接和间接信任意见，以便为节点计算最终信任值。使用 Beta 概率分布来组合不同的信任证据，并计算了直接信任。使用 ARMA/GARCH 理论来组合推荐信任证据，并预测每个节点在多步提前的结果信任值。此外，设计了一种路由协议，通过仅在路径中考虑可信节点，确保数据包的安全可靠端到端传递。仿真结果表明，我们提出的信任模型优于类似的现有信任模型。
