Paper Info
Title
Energy-efficient cluster-based protocol using an adaptive data aggregative window function (A-DAWF) for wireless sensor networks
Abstract
We present an adaptive data aggregative window function (A-DAWF) for a distributed sensor network model in which nodes store data in their attribute window functions, and provide non-correlated data towards the base station (BS). Unlike previous works, namely data collection or data gathering management systems, we propose a novel approach that aims to process temporal redundant techniques in sensor nodes as well as providing spatial redundant filtration methods in cluster-head (CH) nodes. In this regard, preliminary results show that A-DAWF can suppress up to 90% of temporal redundant data among the considered sensor nodes by an optimal threshold of the window sizes, and their spatial correlations in CH node by a maximum error threshold compared to either periodic or a continuous data transmission system.
Year
DOI
Venue
2016
10.1109/WoWMoM.2016.7523529
2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Keywords
Field
DocType
energy-efficient cluster-based protocol,adaptive data aggregative window function,A-DAWF,wireless sensor networks,distributed sensor network,base station,data gathering management systems,data collection,spatial redundant filtration methods,cluster-head nodes,sensor nodes,continuous data transmission system
Sensor node,Key distribution in wireless sensor networks,Data modeling,Base station,Computer science,Visual sensor network,Computer network,Real-time computing,Mobile wireless sensor network,Wireless sensor network,Window function
Conference
ISBN
Citations 
PageRank 
978-1-5090-2186-4
1
0.36
References 
Authors
10
5
Name
Order
Citations
PageRank
Somasekhar Kandukuri130.73
Jean Lebreton230.73
n m murad382.56
Richard Lorion451.80
Jean-Daniel Lan Sun Luk530.73