DocumentCode :
1759169
Title :
Low-SAR Path Discovery by Particle Swarm Optimization Algorithm in Wireless Body Area Networks
Author :
Tin-Yu Wu ; Cheng-Han Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Ilan Univ., Ilan, Taiwan
Volume :
15
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
928
Lastpage :
936
Abstract :
Sensor nodes in wireless body area networks are placed on the surface of the human skin or embedded inside the human body. When a transmitter sends packets, signals reach the receiver through the human body or skin. However, electric and magnetic field (EMF) radiation generated during packet transmission can lead to a negative influence on human health. The specific absorption rate (SAR) is defined as a measure of the amount of radio frequency energy absorbed by human tissue in units of mass. The higher the human body absorbs the value of the specific absorption rate, the more EMF radiation. Also, the degree of harm to human health is greater. This paper uses the particle swarm optimization algorithm to discover the optimal position of the relay node so that sensor nodes can send packets to the hub via the relay node through a path with the lowest SAR and the success rate of packet transmission thus can be improved.
Keywords :
body sensor networks; particle swarm optimisation; skin; electric field radiation; human tissue; low-SAR path discovery; magnetic field radiation; packet transmission; particle swarm optimization algorithm; relay node; specific absorption rate; wireless body area networks; Genetic algorithms; IEEE 802.15 Standards; Relays; Sensors; Specific absorption rate; Wireless communication; Wireless sensor networks; EMF; PSO; SAR; WBAN;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2014.2354983
Filename :
6915679
Link To Document :
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