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Abstract
Data storage algorithms are used in wireless sensor networks in order to ensure reliability and persistence of the sensed data. These algorithms gain their importance especially when network nodes are continuously exposed to sudden failure. In the first part of this thesis we propose a framework and introduce the required modifications for these data storage algorithms to work properly in CRSNs. We apply our proposed modifications to 3 different data storage algorithms and show with simulation results how these modifications make the performance in CRSNs approaches the performance in normal WSNs. In the second part of this thesis we propose a framework that can be used with any data storage algorithm to optimize the node transmission power value so that the overall consumed energy through the network is minimized while maintaining high successful decoding probability