Title :
A High Efficient Real Time Data Aggregation Algorithm for WSNs
Author :
Tao Du ; Shouning Qu ; Qingbei Guo ; Zhe Qu
Author_Institution :
Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
Abstract :
Data aggregation algorithm is an efficient method to filter messages from different sources and merge the reduplicated ones. In wireless sensor networks, it can be used to avoid invalid transmitting. By well designed data aggregation algorithms, nodes´ energy would be conserved and the utilization of wireless channel would be improved. So designing reasonable data aggregation algorithm is one of the most important research fields to improve WSNs´ performance. In this paper, a new data aggregation algorithm named DQDA (Dynamic Queue Data Aggregation) is proposed which is design on the base of hierarchal routing algorithm. In DQDA, a dynamic queue would be defined in every filter node to store history messages transmitted by this node, and new message would be judged whether reduplicated in time, and the filtering efficiency is also improved. At last, a series experiments are simulated to prove the performance of DQDA.
Keywords :
queueing theory; telecommunication network routing; wireless channels; wireless sensor networks; DQDA algorithm; WSN performance improvement; data aggregation algorithm; dynamic queue data aggregation; filter node; filtering efficiency improvement; hierarchal routing algorithm; high-efficient real time data aggregation algorithm; history message storage; message filtering; node energy; reduplicated message merging; wireless channel; wireless sensor networks; Algorithm design and analysis; Clustering algorithms; Filtering; Hardware; Heuristic algorithms; Real-time systems; Wireless sensor networks; Data aggregation; Dynamic queue; WSNs;
Conference_Titel :
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/BDCloud.2014.34