Abstract: As sensors become smaller, channel bandwidth (BW) increases, and internet connectivity speeds increase, Wireless Body Area Networks, or WBANs, are becoming more and more significant. An internetwork is a vast network of networks with thousands or even millions of nodes and links. Any biological stimulus from the human body is transformed into an electrical signal, standardized, and sent to the internetwork. This study examines the possibility of a human body implanted with biomedical sensors that measure many physiological parameters and run wireless protocols with various frequencies. This study examines the possibility of a human body implanted with biomedical sensors that measure many physiological parameters and run wireless protocols with various frequencies. A wireless body area network is made up of a number of nodes that are connected to one another to create a network of biomedical or other sensors positioned at the nodes. Military personnel stationed in remote areas require constant health monitoring, and the packets must be transmitted to the base station. The headquarters (HQ) must be connected to each base station. Additionally, the data must be encrypted and authorized. The enemy will get an advantage from any incursion or information breach. The research paper focuses on network construction, authentication, and encryption. To determine the optimal way and anticipate the path between the sender and the recipient, we employ specific routing protocols. EIGRP (Enhanced Interior Gateway Routing Protocol) and OSPF (Open Shortest Path First) are recommended. For traffic, we also use two-way authentication. By combining data from several patients, this configuration helps medical professionals make better clinical decisions and promote collaborative care models. To better understand trends in the prevalence of chronic diseases, for example, researchers might use aggregated data. Podiatric abnormalities due to improper gait of Army men with and without Diabetes Mellitus is also dealt with using Artificial Intelligence (AI) models developed using supervised classification algorithms- Support Vector Machine (SVM).
Keywords: Wireless Body Area Network (WBAN), internetwork, authentication, encryption, OSPF (Open Shortest Path First) and EIGRP (Enhanced Interior Gateway Routing Protocol), Podiatric abnormalities, improper gait, Diabetes Mellitus, Artificial Intelligence models (AI), Supervised Classification Algorithms, Support Vector Machine (SVM).
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DOI:
10.17148/IJARCCE.2025.14227
