Information Theoretic Approach with Reduced Paging Cost in Wireless Networks for Remote Healthcare Systems

This paper introduces an information theoretic approach for location management in cellular/mobile networks and allows the network to maintain the record of the mobility pattern of every user. The critical nature of remote healthcare service demands for continuous updates on the location of healthcare expert with the patient monitoring device. To reduce the paging cost, the proposed work uses the information from the system database by representing given past knowledge of the mobility pattern using Markov Chain. The expected search under the proposed work reduces number of search required in the earlier techniques. An entropy-per-location based scheme has also been introduced for comparative analysis among different models. This scheme can also be utilized as a general comparative framework for schemes to be introduced in future m-Health framework.