IoT objects that have a resource constrained nature resulting in a number of attacks in the routing protocol for lossy networks and low-power networks. RPL is very vulnerable to selfish behaviours and internal attacks though they are built with encryption protection to secure messages. To address this vulnerability, in this paper, we propose a novel trustworthiness methodology based on metric for incorporating trust evaluation, enhancing the robustness of security mechanism. Simulation results indicate that the proposed work is efficient in terms of throughput, nodes’ rank changes, energy consumption and packet delivery ratio. Moreover, using mathematical modelling, it has been observed that this methodology meets the demands of loop-freeness, optimality and consistency. This shows that this metic has both monotonicity and isotonicity requirements to enable the routing protocol. Incorporating the concepts of game theory, we can use this technique as a strategy to iterate Prisoner’s Dilemma. Both evolutionary simulation and mathematical analysis indicate that the proposed metric-based routing protocol is an efficient technique in promoting evolution and stability of the IoT network.
The municipal wireless networks are developed using Wi-Fi connectivity for establishing smart cities. Wi-Fi access is provided to several thousands of cities worldwide. However, the overall utilization profile, Quality of Experience (QoE) of the user and Quality of Service (QoS) analysis has not been performed in most of these cities. There are 304 free wi-fi hotspots available in the Coimbatore City. The service availability, network performance and user connection data are analyzed for a duration of one year. The 304 hotspots are categorized into North, East, West, South and Centre zones. Video streaming experiment is conducted in these zones. The data set is leveraged for establishing and verifying the correlation between the area specific events and total user access in the region.
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