This paper is proposing an IoT-based camera surveillance system. The objective of research is to detect suspicious activities by camera automatically and take decision by comparing current frame to previous frame. Major motivation behind research work is to enhance the performance of IoT-based system by integration of edge detection mechanism. Research is making use of numerous cameras, canny edge detection-based compression module, picture database, picture comparator. Canny edge detection has been used to minimize size of graphical content to enhancing the performance system. Simulation of output of this work is made in MATLAB simulation tool. Moreover, MATLAB has been used to give comparative analysis among IoT-based camera surveillance system and traditional system. Such system requires less space, and it takes less time to inform regarding any suspicious activities.
In this paper, we design and formulate a trust-based routing protocol for secure transactions, such as military and disaster relief operations, banking in mobile ad hoc networks (MANETs). The proposed approach is showing the idea of a trust model in t he network layer of MANET.AODV is ad hoc on demand distance vector, this protocol starts the route specially when some node clai ms to send data. In AODV whenever a link breaks an error message is sent indicating the link and packet sending is dropped. In our proposed scheme a packet is sent through alternative path. In this approach a trust node is made with neighbors. Simulation results shows that proposed scheme has less packet loss and packet ratio delivered is more.
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