Friday 23rd of February 2018

On Performance of Logical-Clustering of Flow-Sensors

Rahim Rahmani, Hasibur Rahman and Theo Kanter

In state-of-the-art Pervasive Computing, it is envisioned that unlimited access to information will be facilitated for anyone and anything. Wireless sensor networks will play a pivotal role in the stated vision. This reflects the phenomena where any situation can be sensed and analyzed anywhere. It makes heterogeneous context ubiquitous. Clustering context is one of the techniques to manage ubiquitous context information efficiently to maximize its potential. Logical-clustering is useful to share real-time context where sensors are physically distributed but logically clustered. This paper investigates the network performance of logical-clustering based on ns-3 simulations. In particular reliability, scalability, and reachability in terms of delay, jitter, and packet loss for the logically clustered network have been investigated. The performance study shows that jitter demonstrates 40 % and 44 % fluctuation for 200 % increase in the node per cluster and 100 % increase in the cluster size respectively. Packet loss exhibits only 18 % increase for 83 % increase in the packet flow-rate.

Keywords: Pervasive Computing, Wireless sensor networks, ubiquitous, context, distributed, logical-clustering, ns-3

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Rahim Rahmani
Department of Computer and Systems Sciences, Stockholm University

Hasibur Rahman
Department of Computer and Systems Sciences, Stockholm University

Theo Kanter
Department of Computer and Systems Sciences, Stockholm University

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