Benefits of data aggregation on energy consumption in wireless sensor networks

Author:

Lu Yao12ORCID,Kuonen Pierre2,Hirsbrunner Beat1,Lin Mingwei3

Affiliation:

1. Department of InformaticsUniversity of FribourgCH‐1700FribourgSwitzerland

2. Institute of Complex SystemsUniversity of Applied Sciences of Western SwitzerlandCH‐1700FribourgSwitzerland

3. School of Computer and SoftwareNanjing University of Information Science and Technology210044NanjingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference21 articles.

1. Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring

2. GalluccioL. PalazzoS. CampbellA.T.: ‘Efficient data aggregation in wireless sensor networks: an entropy‐driven analysis’. Proc. IEEE Int. Symp. on Personal Indoor and Mobile Radio Communications (PIMRC) 2008 pp.1–6

3. Opportunistic routing with in‐network aggregation for duty‐cycled WSNs with delay requirements;So J.;EURASIP J. Wirel. Commun. Netw.,2014

4. PhamT. KimE.J. MohM.: ‘On data aggregation quality and energy efficiency of wireless sensor network protocols – extended summary’. Proc. Int. Conf. on Broadband Networks (BroadNets) 2004 pp.730–732

5. Evolutionary game‐based data aggregation model for wireless sensor networks;Lin J.;IET Commun.,2011

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