Signalling Management to Reduce Roaming Effects over Streaming Services

Vilas, Manuel; Pañeda, Xabiel G.; Melendi, David; Garcı́a, Roberto; García, Víctor G.

doi:10.1109/euromicro.2006.55

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…In [8], a solution to minimize all the negative effects of a roaming situation in a WLAN, based on a buffering scheme and the pro-active management of signalling control messages between clients and server, is proposed. It is based on off-the-shelf WiFi hardware and unmodified commercial streaming clients and servers.…”

Section: Related Workmentioning

confidence: 99%

Multicast TV over WLAN in a University Campus Network

Cánovas

Boronat

Turró

et al. 2009

2009 Fifth International Conference on Networking and Services

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One of the multimedia services offered by the campus network of the Polytechnic University of Valencia is TV over IP. This service works well in the devices connected directly to the wired network but we have detected some problems when the receivers access to the campus network through wireless IEEE 802.11, especially when devices roam across the Campus. In this paper we propose and evaluate a server-based solution to minimize the packet loss and reduce the lack of service when the mobile devices roam from an Access Point to another Access Point in the wireless network. This solution uses a location system to modify the behaviour of standard multicasting protocols in order to get a near-seamless multicast WiFi roaming.

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Section: Related Workmentioning

confidence: 99%

Multicast TV over WLAN in a University Campus Network

Cánovas

Boronat

Turró

et al. 2009

2009 Fifth International Conference on Networking and Services

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“…In [19] and [26] some interesting results concerning the influence of user mobility on the performance of audio/ video streaming services were presented. The main conclusion of these works is that the performance of audio/ video services is affected by client mobility and that, after the handoff process, there is a high probability that the streaming session will fail.…”

Section: User Mobility Effects On Streaming Servicesmentioning

confidence: 99%

DSMeM Streaming: distributed system to mitigate the effects of performance anomaly and user mobility on IEEE 802.11 WLANs

et al. 2008

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On IEEE 802.11 wireless LANs (WLAN) the clients have control over the handoff procedure; a client decides the best AP (access point) to be associated to and when and where to change its association to a new AP. This simple handoff management technique can have negative effects for both static and mobile clients of the same cell, since some wireless clients remain associated with their current AP even when a better AP is reachable. Combined with handoff latencies, this mobility method can have a negative effect on various services with severe restrictions regarding delivery rate and delay. In this paper, a distributed and transparent system that monitors channel conditions, manages user data based on its knowledge and induces client handoffs when a better AP is reachable, is presented. One of the strongest points of the proposed solution is that it can work in currently deployed IEEE 802.11 WLANs without the server, clients or APs having to introduce new software.

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“…In handover prediction applications a MC is moving along a coverage area and in certain space and time it must change it association to another AP. When MC receives weak signal and need to handover, channel conditions deteriorate, data are lost, and the medium saturates with broadcasted failed data, which cause poor multimedia reproduction quality at the MC [14]. As a result, sporadic and not predicted service disruptions could occur.…”

Section: Applications Of the Gradient Rssi Filter And Predictor To Nementioning

confidence: 99%

“…These kinds of disruptions also can occur inside the coverage area in which signal strength can go down randomly. When MC starts to loss its connection to the associated AP and stops receiving data for several seconds [14], it searches for another AP to associate with. Handover process [15]- [19] is required here to maintain channel connection and frame transmission while MC is moving.…”

Section: Applications Of the Gradient Rssi Filter And Predictor To Nementioning

confidence: 99%

Gradient RSSI Filter and Predictor for Wireless Network Algorithms and Protocols

Suárez

Elbatsh

Macías

2010

NPA

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Wireless networks, and in particular Wireless Fidelity (WiFi) networks, present important problems of connectivity among wireless terminals. These problems lead to inefficiencies in the Application level. For localization algorithms in wireless networks, efficient handover protocols and multimedia delivery information, these problems must be solved. A figure used to control the connectivity of terminals to other terminals or to an Access Point (AP) is the well known Received Signal Strength Indicator (RSSI). Managing this figure it is possible to control the availability of a service in the wireless terminal. But the problem with RSSI is the fact that it exhibits high variability in space and time. Thus it is important to filter those values in order to efficiently manage the availability of the service in the mobile terminal. For that reason in this paper we present the experimental validation of a filter and a predictor of availability of a service in the wireless terminal based on the RSSI. We test the performance of the filter and the predictor that improves significantly other filters that are also presented in the paper. The significance of our work is that our filter allows simplifying a lot of network algorithms and protocols. As an example we present a simple protocol of handover in presence of multimedia information using our filter and predictor based on RSSI.

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Signalling Management to Reduce Roaming Effects over Streaming Services

Cited by 5 publications

References 12 publications

Multicast TV over WLAN in a University Campus Network

Multicast TV over WLAN in a University Campus Network

DSMeM Streaming: distributed system to mitigate the effects of performance anomaly and user mobility on IEEE 802.11 WLANs

Gradient RSSI Filter and Predictor for Wireless Network Algorithms and Protocols

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