Paper Info
Title
Object tracking with an AIS-inspired algorithm
Abstract
Wireless Sensor Networks (WSNs) provide an effective means to perform data acquisition in remote areas. However, limitations exist that prohibit their widespread use. In this paper, an object tracking algorithm based on Artificial Immune Systems (AIS) is proposed. Based on the immune network theory of AIS, the activities of wireless sensor nodes are stimulated by target in-coming objects but suppressed by other wireless sensor nodes based on a dynamic changing environment. When a sensor node is being suppressed, the sensor node will go to a low-power state momentarily, otherwise, it will be actively estimating the location of the target objects. In doing so, the energy efficiency of the overall network will be optimized through the dynamic stimulation and suppression of sensor nodes that is mediated by the immunity-based algorithm. A number of experiments are conducted to verify the algorithm in terms of the degree of accuracy in target tracking and the energy efficiency of the entire sensor network.
Year
DOI
Venue
2009
10.1109/CEC.2009.4983188
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
object tracking,overall network,target object,sensor node,immune network theory,target tracking,wireless sensor node,ais-inspired algorithm,immunity-based algorithm,wireless sensor,entire sensor network,energy efficiency,wireless communication,immune system,wireless sensor networks,algorithm design and analysis,network theory,artificial immune systems,data acquisition,sensor network,artificial immune system,wireless sensor network,energy efficient
Sensor node,Key distribution in wireless sensor networks,Algorithm design,Computer science,Visual sensor network,Brooks–Iyengar algorithm,Algorithm,Real-time computing,Video tracking,Mobile wireless sensor network,Wireless sensor network
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Tommy W. C. Lai100.68
Henry Y. K. Lau216431.98