Abstract
Body sensor networks are an example of wireless sensor networks. Body Sensor Network is a kind of wireless sensor network for a special purpose that uses wireless sensor nodes to measure a person's biological parameters and monitor his or her health remotely and is available in both wearable and implantable types. These systems also monitor physical activity such as environmental parameters. These systems can provide significant assistance by supplying services such as medical observations and the provision of medicinal and medical information, improving the memory of individuals and controlling home devices and communicating in emergencies. Body wireless sensor network is a wireless technology featuring small, smart devices that connect to the body and monitor it continuously, enhancing early detection of emergency situations in patients at high health risk and providing a wide range of health services, therefore of paramount importance. The most important challenges in wireless sensor networks are sensor nodes, resource constraints, reliability and quality of service, security and routing, and energy consumption constraints. In this article, we focused on energy consumption due to small sensors with limit power resource and latency for emergency data to improve network lifetime, energy consumption, network efficiency and lower latency. This research will provide a way to optimize energy consumption by examining the energy exhaustion and network performance in the MAC layer. It assumed that by improving the access to MAC in wireless body area network can have better operation power and by propound the energy parameter in data transition priority. Optimizing energy consumption and minimizing delays and increasing the latency are the goals of this study by modify the IEEE 802.15.4 superframe structure based on MAC layer protocol.
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