Paper Info
Title
Data aggregation for Vehicular Ad-hoc Network using particle swarm optimization
Abstract
The data aggregation process can be considered a problem of multi-objective optimization which reduces the size of data in such a way that its relevance with original data remains as closer as possible. Data Aggregation is of great importance in Wireless Sensor Networks, Vehicular Ad-hoc Networks to transmit the recorded data in time over low bandwidth. In this regard, data aggregation solutions have been developed; however, their actual usage has been limited, for the reason of low accuracy and high processing time. In this paper, particle swarm optimization (PSO) is used to optimize process of multi-objective data aggregation in vehicular ad-hoc network. In our work processing time for aggregation and aggregation quality have been set as objectives. The proposed method has been compared with state of the art existing aggregation techniques. Experimental results show that our method simplifies aggregation effectively and obtains a higher aggregation accuracy compared to the other data aggregation methods.
Year
DOI
Venue
2012
10.1109/APNOMS.2012.6356070
Network Operations and Management Symposium
Keywords
Field
DocType
data communication,particle swarm optimisation,vehicular ad hoc networks,wireless sensor networks,PSO,data aggregation method,data transmission,multiobjective optimization,particle swarm optimization,vehicular ad hoc network,wireless sensor networks,Evolutionary Algorithm,Multi-objective aggregation,PSO based aggregation,Particle Swarm Optimization,VANET Data Aggregation
Particle swarm optimization,Evolutionary algorithm,Computer science,Computer network,Bandwidth (signal processing),Linear programming,Atmospheric measurements,Data aggregator,Wireless sensor network,Vehicular ad hoc network,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-4495-1
5
0.48
References 
Authors
17
2
Name
Order
Citations
PageRank
Muhammad Shoaib1126388.37
Wang-Cheol Song25425.56