Research on tasks schedule and data transmission of video sensor networks based on intelligent agents and intelligent algorithms  

作　　者：HUANG Hai-ping WANG Ru-chuan SUN Li-juan WANG Hai-yuan XIAO Fu 

机构地区：[1]College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China [2]State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2009年第6期84-91,112,共9页中国邮电高校学报（英文版）

基　　金：sponsored by the National Natural Science Foundation of China (60973139, 60773041);the Natural Science Foundation of Jiangsu Province (BK2008451);the Hi-Tech Research and Development Program of China (2007AA01Z404, 2007AA01Z478);Special Fund for Software Technology of Jiangsu Province;Foundation of National Laboratory for Modern Communications (9140C1105040805);Postdoctoral Foundation (0801019C, 20090451240);the six kinds of Top Talent of Jiangsu Province (2008118)

摘　　要：As a novel application technology,wireless video sensor networks become the current research focus,especially on target tracking and surveillance scenario.Based on multiple agents＇ technique,this article introduces a series of intelligent algorithms such as simulated annealing algorithm（SA）,genetic algorithm（GA）,and ant colony optimization algorithm（ACO） or their mixed algorithms,to resolve the optimization of tasks schedule and data transmission.This article analyzes the performance of abovementioned algorithms and verifies their feasibility associated with agents.The simulations demonstrates that the mixed algorithms based on SA and GA obtain the optimal solution to tasks schedule,and those combined with SA-ACO show advantages on multimedia sensor networks routing optimization.As a novel application technology,wireless video sensor networks become the current research focus,especially on target tracking and surveillance scenario.Based on multiple agents＇ technique,this article introduces a series of intelligent algorithms such as simulated annealing algorithm（SA）,genetic algorithm（GA）,and ant colony optimization algorithm（ACO） or their mixed algorithms,to resolve the optimization of tasks schedule and data transmission.This article analyzes the performance of abovementioned algorithms and verifies their feasibility associated with agents.The simulations demonstrates that the mixed algorithms based on SA and GA obtain the optimal solution to tasks schedule,and those combined with SA-ACO show advantages on multimedia sensor networks routing optimization.

关 键 词：video sensor networks intelligent algorithm tasks schedule optimal routing AGENT 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TU998.1[自动化与计算机技术—控制科学与工程]