Title
EPC: Energy-Aware Probability-Based Clustering Algorithm for Correlated Data Gathering in Wireless Sensor Networks
Abstract
This paper addresses energy-efficient data gathering issues in wireless sensor networks (WSNs). Leveraging data correlation in densely-deployed sensor networks, we propose an Energy-aware Probability-based Clustering algorithm (EPC), featuring high scalability and flexibility particularly suitable for large-scale WSNs. Unlike most existing data gathering schemes that construct static routing structures or only consider spatial correlation among sensed data, EPC establishes energy-efficient routes on the fly during the data gathering process, and dynamically organizes sensor nodes into clusters based on a probability factor determined by both spatial and temporal data correlations. Redundant data transmissions are suppressed within a cluster and energy consumption is balanced to prolong network lifetime. To verify the effectiveness of EPC, extensive simulations are conducted on a network of 625 randomly deployed sensor nodes. Results show that EPC balances the energy consumption of the whole network and reduces up to 71% of the transmission costs with near negligible error rates for representative aggregation functions.
Year
DOI
Venue
2011
10.1109/AINA.2011.45
AINA
Keywords
Field
DocType
wsn,leveraging data correlation,network lifetime,pattern clustering,temporal data correlation,energy-efficient route,clustering algorithm,redundant data transmission,wireless sensor network,densely-deployed sensor network,energy-efficient data,telecommunication network reliability,existing data,error rates,scalability,static routing structure,epc,energy-aware probability-based clustering algorithm,energy-aware probability,energy consumption,wireless sensor networks,sensor node,correlated data,energy-efficient data gathering issue,correlated data gathering,probability,mobile communication,temporal data,spatial correlation,data transmission,sensor network,accuracy,error rate,clustering algorithms,correlation,energy efficient,data gathering,routing
Key distribution in wireless sensor networks,Data collection,Static routing,Computer science,Computer network,Cluster analysis,Wireless sensor network,Energy consumption,Mobile telephony,Distributed computing,Scalability
Conference
ISSN
ISBN
Citations 
1550-445X E-ISBN : 978-0-7695-4337-6
978-0-7695-4337-6
1
PageRank 
References 
Authors
0.35
14
3
Name
Order
Citations
PageRank
Xinxin Liu11518.79
Han Zhao2784.36
Xiaolin Li340537.36