Abstract
In recent years, the research of individual wearable physiological monitoring wireless sensor network is in the primary stage. The monitor of physiology and geographical position used in wearable wireless sensor network requires performances such as real time, reliability, and energy balance. According to these requirements, this paper introduces a design of individual wearable wireless sensor network monitoring system; what is more important, based on this background, this paper improves the classical Collection Tree Protocol and puts forward the improved routing protocol F-CTP based on the fuzzy logic routing algorithm. Simulation results illustrate that, with the F-CTP protocol, the sensor node can transmit data to the sink node in real time with higher reliability and the energy of the nodes consumes balance. The sensor node can make full use of network resources reasonably and prolong the network life.
Highlights
The wearable wireless sensor network [1] is applied to monitor the physiological information and movement information of human body and the external environment dynamically and continuously for a long time.Focus on the wearable wireless sensor network among bodies, the wearable sensor node which is placed on the mobile human bodies constitutes the sensor network, the network topology of which changes fiercely
This paper proposed a multiobjective routing algorithms based on fuzzy logic algorithm, which integrates energy consumption, time delay, and reliability for wearable wireless network which makes the wireless sensor network better applied to wearable physiological monitoring area
For the requirements of the wearable wireless sensor network that is applied in the field of individual physiological monitoring, we propose a routing selection algorithm based on the fuzzy logic to improve the CTP protocol
Summary
The wearable wireless sensor network [1] is applied to monitor the physiological information (heart rate, blood oxygen, breath, blood pressure, body temperature, and so on) and movement information (the speed, gait, trajectory, and the consumption of energy in the sport) of human body and the external environment (such as temperature, humidity, gas composition, and location) dynamically and continuously for a long time. The wearable wireless sensor network which is applied in the individual physiological information monitoring is currently in the early research. Because the mobility of the human body is bigger and the topology changes dramatically, these require that sensor nodes transmit data in real time with high reliability and the energy of the nodes consumes balance which can prolong the network life. Based on the system we design, we put forward F-CTP protocol taking into account multiobjective optimization problem which is based on the fuzzy logic algorithm. The sensor node can make full use of network resources reasonably and prolong the network life It makes the wireless sensor network better applied to wearable physiological monitoring area.
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