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An Energy Conserving MANET-LoRa Architecture for Wireless Body Area Network

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Proceedings of Data Analytics and Management (ICDAM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 785))

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Abstract

The rapid demand for technologies gradually increases to provide solutions to people suffering from chronic diseases. These technologies also practice continuous health monitoring of patients for early intervention and prevention. Additionally, there is also a need for the interoperation of different connected devices and application services in smart health care. Among these technologies, a wireless body area network (WBAN) is an appropriate option to monitor people’s health remotely. However, existing systems have limitations of high energy dissipation in processing the data. This article aims to provide a system that collaborates to leverage the advantages of the Internet of Things (IoT)’s LoRa technology, Mobile Ad hoc network (MANET) systems, and data aggregation schemes to conserve the energy in transmitting packets. Our proposed model optimizes and reduces energy dissipation in the network compared to existing models. It also presents a novel approach for the early detection of urgent biosignals.

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Correspondence to Sakshi Gupta .

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Gupta, S., Manorama, Snigdh, I. (2024). An Energy Conserving MANET-LoRa Architecture for Wireless Body Area Network. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. Lecture Notes in Networks and Systems, vol 785. Springer, Singapore. https://doi.org/10.1007/978-981-99-6544-1_45

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