Abstract
Restriction on intrusions is one of the foremost aspects of security to conserve the resources in a wireless network. The perimeter of the shadowing zone where in sensing and connectivity are simultaneously changing had to be estimated to prevent intruders. So the proposed work estimates a relationship between the data transmissions and computational time to find the trust factor of channels using factor graphs. Subsequently, estimating the Value of Information (VoI), contention time, and topological significance based on sensing power to alleviate blind spots had been observed to identify intrusions. Factor graph-based routing scenarios capable of handling channel uncertainties in time-triggered wireless sensor communication are indicated with edges and their factors. The process of local interactions with edges provides inference of intrusions to determine global solutions to preserve the network and its data transfer.
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