From MAP to DIST: The Evolution of a Large-Scale WLAN Monitoring System

Tan, Keren; McDonald, Chris; Vance, Bennet; Arackaparambil, Chrisil; Bratus, Sergey; Kotz, David

doi:10.1109/tmc.2012.237

Cited by 12 publications

(8 citation statements)

References 34 publications

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“…The predictive storage architecture for emerging largescale, hierarchical sensor networks is shown in WLAN monitoring system [3]. Rather than existing procedures, proxy-centric architecture where fastened by gathering the requirement for intelligent questioning from clients with energy enhancement needs of the remote sensors.…”

Section: Related Workmentioning

confidence: 99%

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

Vadivel

2018

ijarcs

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Abstract:Wireless sensor network deals with communication based on wireless. It enables distributed frameworks to be outlined and executed in a self-sufficient route by advancing the development procedure. Utilizing self-sufficient objects gives new method to effective processor and memory use while empowering low-control utilization in communication. In this paper we propose a protocol which was based on content-based to take care of some characteristic issues in wireless sensor networks, particularly in correspondence. The protocols based on content are primarily amplified the rate of appropriate message conveyance and limit the energy utilization by utilizing strategies to keep up briefest ways. It passes information by utilizing a platform based on agent, where every sensor can take on its choice separately. This protocol extends the network lifetime. When the nodes gets dead, the system consequently build new route for sending data. Also, this proposed work utilizes Homomorphic encryption for security purpose. Performance evaluations are done using efficiency metrics and it can be utilized for evaluating the lifetime of the system.

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Section: Related Workmentioning

confidence: 99%

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

Vadivel

2018

ijarcs

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“…Monitoring WiFi networks (802.11 wireless LANs) has received much attention from the research community (see [9] and references therein). The current state of the art approach as exemplified by DIST [9] is to deploy a number of stationary sniffers (also called air monitors) separate from the WLAN infrastructure. Similarly, WizNet [11] employs many cheap ZigBee sensors in conjunction with digital signal processing techniques to tell apart between 802.11 and other signals.…”

Section: A Wifi Monitoring and Site Surveysmentioning

confidence: 99%

“…Pazl advances the state of the art on WiFi monitoring in two important ways: (1) compared to WiFi monitoring systems based on statically positioned sniffers (e.g., DIST [9]), Pazl is not only lower cost leveraging people's smartphones and their movements but also complementary in the sense that it captures the vital user/client side perspective as opposed to the AP side or monitoring system perspective. (2) with respect to wireless site survey solutions (e.g., Ekahau Mobile Survey [10]), Pazl significantly lessens the need for manual point-and-click approach for identifying measurement location, thereby paving the way for automated monitoring.…”

Section: Introductionmentioning

confidence: 99%

Pazl: A mobile crowdsensing based indoor WiFi monitoring system

Radu

Kriara

Marina

2013

Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)

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WiFi in indoor environments exhibits spatiotemporal variations in terms of coverage and interference in typical WLAN deployments with multiple APs, motivating the need for automated monitoring to aid network administrators to adapt the WLAN deployment in order to match the user expectations. We develop Pazl, a mobile crowdsensing based indoor WiFi monitoring system that is enabled by a novel hybrid localization mechanism to locate individual measurements taken from participant phones. The localization mechanism in Pazl integrates the best aspects of two well known localization techniques, pedestrian dead reckoning and WiFi fingerprinting; it also relies on crowdsourcing for constructing the WiFi fingerprint database. Compared to existing WiFi monitoring systems based on static sniffers, Pazl is low cost and provides a user-side perspective. Pazl is significantly more automated than wireless site survey tools such as Ekahau Mobile Survey tool by drastically reducing the manual point-and-click based measurement location determination. We implement Pazl through a combination of Android mobile app and cloud backend application on the Google App Engine. Experimental evaluation of Pazl with a trial set of users shows that it yields similar results to manual site surveys but without the tedium.

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“…Request permissions from permissions@acm.org. HotPlanet' 13 packet sniffers may miss events as a consequence of physical issues, such as fading, interference, collisions, and hardware outages. The outcome of such a process is a collection of traces, each one collected by a different monitor, which are merged into a single file.…”

Section: Introductionmentioning

confidence: 99%

“…These systems use a central entity in charge of generating merged traces taking into account synchronization issues [3,9]. A common characteristic of all these solutions is that they are concerned with the contrasting requirements of completeness of the captured traces and scalability of the monitoring systems [8,13,14]. Although these systems are sophisticated, their main goal is simply to merge as many traces as possible, rather than improving the system efficiency by previously selecting the most relevant traces.…”

Section: Introductionmentioning

confidence: 99%

Trace selection for improved WLAN monitoring

Sammarco

Campista

Amorim

2013

Proceedings of the 5th ACM Workshop on HotPlanet

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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.

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From MAP to DIST: The Evolution of a Large-Scale WLAN Monitoring System

Cited by 12 publications

References 34 publications

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

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

Pazl: A mobile crowdsensing based indoor WiFi monitoring system

Trace selection for improved WLAN monitoring

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