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- W2971572408 abstract "In the current era of wireless body area network (WBAN), pervasive computing technology brings healthcare to a new level of personalization. Integrating this kind of energy-efficient routing protocol networks with the more advanced and emerging technologies like mobile phones and personal digital assistance devices (PDAs) makes the network more fascinating and advanced toward the growth and rapid delivery of critical data with less amount of energy during data transmission. In this chapter, we proposed a novel energy-efficient computing method called threshold-based routing protocol to route the critical data in WBANs during emergency condition. Biosensors are deployed to fixed locations on the human body to measure important vital signs and perform computing in a regular and continuous manner. Different threshold values are assigned for heterogeneous biosensors, based on the values assigned data is generated for transmission to the sink in case of critical health condition. During transmission, energy condition has to be satisfied to reach the sink. Based on the changes in threshold condition, data is generated and forwarded to the sink. Cost function parameter is used for the selection of intermediate node/forwarder node (FN) based on the maximum residual energy and less distance between the nodes. Thus, there is a balance between energy consumption among the nodes and successful packet distribution to the sink. Simulation is performed using MATLAB tool and obtained results exhibit that our proposed work enhances the stability period, network lifetime, throughput to sink, and residual energy of nodes." @default.
- W2971572408 created "2019-09-12" @default.
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- W2971572408 date "2019-07-05" @default.
- W2971572408 modified "2023-10-12" @default.
- W2971572408 title "Threshold‐Based Energy‐Efficient Routing Protocol for Critical Data Transmission to Increase Lifetime in Heterogeneous Wireless Body Area Sensor Network" @default.
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- W2971572408 doi "https://doi.org/10.1002/9781119439004.ch9" @default.
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