DocumentCode
121049
Title
RLP: A Community Detection-Based Routing Protocol for Wireless Sensor Networks
Author
De Paulo, Matheus A. ; Nascimento, Maria C. V. ; Rosset, Valerio
Author_Institution
Sci. & Technol. Dept., Fed. Univ. of Sao Paulo - UNIFESP, Sao Paulo, Brazil
fYear
2014
fDate
21-23 Aug. 2014
Firstpage
237
Lastpage
244
Abstract
In Wireless Sensor Networks (WSNs), routing remains a key issue primarily regarding to the overall energy consumption. Accordingly, the energy conservation has been addressed by a few strategies, namely cluster-based hierarchical routing protocols. Nevertheless, the load balancing and the network lifetime achieved by such strategies strongly depend on the even distribution of the cluster-heads in the network. Therefore, we propose in this paper a community detection-based routing protocol for automatically producing and evenly distributing clusters in the network. We evaluate the performance of the proposed protocol and compare it with LEACH by considering the connectivity of the sensor nodes to the cluster-heads, the routing efficiency, the event data delivery ratio and the network lifetime. According to the results, the proposed approach outperform LEACH when considering applications with strict response times.
Keywords
channel allocation; energy conservation; energy consumption; pattern clustering; routing protocols; telecommunication power management; wireless sensor networks; cluster head distribution; cluster-based hierarchical routing protocol; community detection-based routing protocol; energy conservation; energy consumption; event data delivery ratio; load balancing; network lifetime; routing efficiency; sensor node connectivity; wireless sensor network; Communities; Measurement; Routing; Routing protocols; Sensors; Wireless sensor networks; Label propagation; Routing; Wireless Sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Applications (NCA), 2014 IEEE 13th International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
978-1-4799-5392-9
Type
conf
DOI
10.1109/NCA.2014.42
Filename
6924233
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