Abstract
Smart parks are almost an integral part of any smart city. People of varied age groups usually gather in the smart park and performs different activities of daily living (ADL). People in a smart park may be sedentary (sitting/standing) or mobile. The mobility is low for the persons who are walking and moderate for those performing jogging/running. Often these activities are monitored via individual smart devices that are connected to a smart healthcare network. Such kind of health network must be extremely robust and hybrid in nature. Data generated through various individuals are synced to a remote server for further clinical processing. The present work proposes an intelligent methodology to minimize the transmission overhead by dynamically selecting the optimal nodes for data transmission. It takes care of both the stationary and the moving objects inside a smart park using a two-state Markov model. Additionally, it is also observed that the overall packet delivery ratio(PDR)is increased and energy consumption is reduced compared to popular LEACH-Mobile (LEECH-M) and LEACH-Mobile-Enhanced (LEACH-ME)protocols, using the proposed methodology.
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Bhattacharjee, P., Roy, S., Biswas, S., Bose, R. (2022). Design of an Energy-Efficient Probabilistic Algorithm for a Hybrid Healthcare Network. In: Sikdar, B., Prasad Maity, S., Samanta, J., Roy, A. (eds) Proceedings of the 3rd International Conference on Communication, Devices and Computing. ICCDC 2021. Lecture Notes in Electrical Engineering, vol 851. Springer, Singapore. https://doi.org/10.1007/978-981-16-9154-6_47
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