Fault Tolerant And Energy Efficient Model For Wireless Body Area Networks Algorithms And Protocols

Abstract

Due to the increasing rate of the older population and constrained monetary assets the current medicinal service frameworks are confronting new difficulties To provide practical solutions to the difficulties faced by these current available medicinal service frameworks refreshed therapeutic information of patient ought to be conveyed to the concerned individual continuously in real time by means of the web A Wireless Body Area Network WBAN permits savvy extremely small ultra low power sensor nodes to be strategically mounted on in or around a human body to reveal various physiological signals such as blood pressure heart rate etc Each such node processes the information at its own end and forwards it to the coordinator node or PDA where further processing is done and the combined processed data are further delivered to a base station for diagnosis and prescription newlineWBAN protocols should be developed to attain minimum delay maximum throughput and energy efficiency The WBAN usually uses Radio Frequency RF technologies for their communication which work in the Industrial Scientific Medical ISM radio band RF signals suffer mainly from body shadowing newlinePostural mobility and short RF transmission ranges cause frequent network partitioning in WBAN leading to a Delay Tolerant Network DTN Network partitioning requires the design and development of routing protocols to reduce transmission delay packet loss and energy consumption during transmission Keeping all these issues in mind as a contribution an efficient and dynamic bandwidth allocation scheme is developed to increase the overall energy efficiency of the network Next to cope with topology changes and to overcome the problem of network partitioning two entirely different protocols are developed which aims to deliver the patients data in real time while maintaining the required QoS metrics Moving ahead in this work the transmission rates of the sensor nodes are optimized to enhance the overall energy efficiency of the network while preserving required QoS parameters newline