Abnormal Human Being Vital Sign Detection Embedded on Smart Sensor with Collision Avoidance for Disaster Temporary Healthcare

摘要

In recent years, the production of mobile computing devices has motivated a revolutionary change in the computing world, which motivates the usage of a wireless ad-hoc and smart sensor network for monitoring the patient in disaster. Flow of signal from sensors to sink node may cause congestion in WSNs if a number of events sensing nodes attempt to send event information to the sink at the same time. Thus, this paper takes the advantages of smart sensors and proposes an energy-efficient and congestion avoidance vital signal detection framework to apply to the natural disaster results in a great number of injured people. The framework consists of several stages designed to improve the performance of wireless sensor networks. First, self-organized wireless ad-hoc and sensor network was simulated, in which all nodes try to organize themselves to organize a network. Nodes in the network reconfigure themselves repeatedly to respond to modifications in the number and location of nodes in order to prevent collisions in the receiver. In the second stage, we proposed a smart sensor processing system with the capability to extract the abnormal vital sign, to reduce the overhead in the aggregator and lower power consumption by sending only the abnormal vital sign. Furthermore, we propose to average polling rate to be suitable for both sender and receiver, in which the intermediate node can balance between the packet arrival rate and the packet service rate, thus avoiding congestion and enhancing the response time.