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Evaluation Study for Clustering in Wireless Sensor Networks

Stein, Michael and Lerbs, Dominic and Hassan, Mohamed and Schnee, Mathias and Schweizer, Immanuel and Weihe, Karsten and Mühlhäuser, Max (2016):
Evaluation Study for Clustering in Wireless Sensor Networks.
In: Proceedings of IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Prague (Czechia), [Conference or Workshop Item]

Abstract

Typically, wireless sensor nodes are battery- powered. The network’s lifetime depends on the energy consumption of the sensor nodes. Transmitting messages causes a good portion of this energy consumption. Clustering the sensor nodes may reduce energy consumption through local communication and aggregation. Many clustering algorithms exist, but corresponding simulation results are hardly comparable. This paper conducts an extensive simulation study. We compare five popular clustering algorithms in four different scenarios under strictly uniform conditions. Our results indicate that two criteria for clustering algorithms are particularly important: considering residual energy for cluster head selection, and small communication overhead during cluster formation.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Stein, Michael and Lerbs, Dominic and Hassan, Mohamed and Schnee, Mathias and Schweizer, Immanuel and Weihe, Karsten and Mühlhäuser, Max
Title: Evaluation Study for Clustering in Wireless Sensor Networks
Language: English
Abstract:

Typically, wireless sensor nodes are battery- powered. The network’s lifetime depends on the energy consumption of the sensor nodes. Transmitting messages causes a good portion of this energy consumption. Clustering the sensor nodes may reduce energy consumption through local communication and aggregation. Many clustering algorithms exist, but corresponding simulation results are hardly comparable. This paper conducts an extensive simulation study. We compare five popular clustering algorithms in four different scenarios under strictly uniform conditions. Our results indicate that two criteria for clustering algorithms are particularly important: considering residual energy for cluster head selection, and small communication overhead during cluster formation.

Title of Book: Proceedings of IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Uncontrolled Keywords: - SUN - Smart Urban Networks;Wireless sensor networks, clustering algorithms, network architecture, energy aware design
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Event Location: Prague (Czechia)
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2016-0098
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