Trace selection for improved WLAN monitoring

Abstract

Existing measurement techniques for IEEE 802.11-based networks assume that the higher the density of monitors in the target area, the higher the quality of the measure. This assumption is, however, too strict if we consider the cost involved in monitor installation and the necessary time to collect and merge all traces. In this paper, we investigate the balance between number of traces and completeness of collected data. We propose a method based on similarity to rank collected traces according to their contribution to the monitoring system. With this method, we are able to select only a subset of traces and still keep the quality of the measure, while improving system scalability. In addition, based on the same rank, we identify monitors that can be relocated to enlarge the monitored area and increase the overall efficiency of the system. Finally, our experimental results show that the proposed solution leads to a better tradeoff in terms of unique captured frames over the number of merge operations.

Homomorphic Encryption Algorithm Used for Security Enhancement in Wireless Sensor Network Content-Based Routing

“…Monitor repositioning can be particularly useful in spontaneous wireless networks such as ad hoc networks in general, as they do not count on any central entities that could be used as monitors [6]. Selecting a subset of traces can improve scalability, the extracting the subset of the most representative traces helps to reduce the number of merging operations (which are costly) [11]. Although the subset selection procedure adds complexity to the system, it is executed less often than the whole merging procedure.…”

Unsupervised Detection of Adversarial Collaboration in Data-Driven Networking

“…The main limitation of such approach is the lack of scalability since multiple monitoring devices have to be deployed. Another approach consists to optimize the number of monitors and their geographical position through trace similarity [5], [6].…”

“…The idea is to improve the design and the management of networked systems through the analysis of network data and measurements. In the context of Wi-Fi wireless networks, the focus of this paper, several monitoring systems exist to record wireless networking activity [3]- [6]. These systems aim at capturing packet exchanges between nodes as accurately as possible.…”

Cocowa Model: Watchdog Mechanism Used to Propagate Selfish Nodes in Cellular Networks of Moving Vehicles

“…The energy efficient model are minimize on the residual sensor nodes. [11]The energy balanced routing protocol are construct virtual potential field in the energy density. [12]The eliminate the loops in the simulation model.…”