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A content centric approach to energy efficient data dissemination

Planet scale growth in deployment of mobile and interconnected devices interacting in a participatory sensing, collection and dissemination of information, have motivated interest in the Internet of Things. Therefore, the problem of information overload and big data becomes inherent. In this paper we intend to propose a methodology aiming at a lower processing overhead towards an energy efficient method for networking of information in larger systems. We consider a content-centric networking paradigm that is aimed at enhancing the dissemination of information and eliminating many problems of host based communication. The proposed method is based on a network coding approach which leverages the spectral characteristics of network topology. We argue that topology of interacting nodes within a cluster can influence the performance of network coding from a computational complexity perspective and therefore the overall energy consumption in a system. We propose an algorithm that takes an opportunistic strategy to utilize the social structure and spectral characteristics of the network topology based on our design of a multicast coding network that reduces the number of encoding nodes.