On Performance of Logical-Clustering Of Flow-Sensors

TL;DR

This paper evaluates the performance of logical clustering in wireless sensor networks, focusing on reliability, scalability, and network delay metrics through ns-3 simulations.

Contribution

It provides an empirical analysis of logical clustering performance, highlighting its impact on network reliability and scalability in pervasive sensor networks.

Findings

Jitter fluctuates significantly with increased nodes and cluster size.

Packet loss increases modestly with higher packet flow-rate.

Performance metrics vary with network configuration changes.

Abstract

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.