About: Wireless mobility management is a research topic. Over the lifetime, 5 publications have been published within this topic receiving 119 citations.
TL;DR: In this paper, a wireless mobility management system including a visitor location register configured to store a visiting user profile and communicate with a mobile switching center to route a wireless call supporting a user-session, a home location register configuring to store and update a user location associated with the home user profile, and a wireless media gateway (WMG) configured to create a user session interconnection between a first wireless network and at least one of a second wireless network, a wireline packet network and a public-switched telephone network, including providing physical resources for the user session.
Abstract: A wireless mobility management system including a visitor location register configured to store a visiting user profile and communicate with a mobile switching center to route a wireless call supporting a user-session, a home location register configured to store a home user profile and update a user location associated with the home user profile, and a wireless media gateway (WMG) configured to create a user-session interconnection between a first wireless network and at least one of a second wireless network, a wireline packet network and a public-switched telephone network, including providing physical resources for the user-session. A WMG controller integrated with a wireless softswitch is configured to control the WMG to allocate resources and establish connections as required by the user session. A performance-based mobility manager is configured to receive user-session performance data from the WMG and make a handoff decision based on the performance data.
TL;DR: This study shows that SWMM outperforms other existing methods in terms of handoff latency, loss and blocking rate, and shows that the traffic overhead introduced by the traceback scheme does not affect the network performance.
Abstract: Wireless mesh networks (WMN) have recently captured the interest of academic and industrial researcher communities; because they represent a good solution to providing wireless Internet connectivity in a sizable geographic area. However, the architecture and configuration of this type of network do not ensure protection against unauthorized use of the network. This is because the basic used security measures do not include the notion of mobility, which characterizes these networks. In this article, we first propose a secure re-authentication mechanism named Secure Wireless Mobility Management (SWMM). This mechanism is carried out while the mobile station (MS) crosses different nodes, to allow users fulfilling an effective and reliable handoff as well as a secure access to services offered by the WMN. Second, we propose a new scheme, called Selective and Deterministic Pipelined packet Marking for Mesh Networks (SDPMM). This scheme is used for IP traffic source identification for tracing denial of service (DoS) attacks. The approach follows the IP traceback approach proposed in wired networks. Our study shows that SWMM outperforms other existing methods in terms of handoff latency, loss and blocking rate. It also shows that the traffic overhead introduced by the traceback scheme does not affect the network performance.
TL;DR: The pre-scanning of mobile nodes, along with pre-authenticating neighbouring access points and pre-reassociation is used to reduce the scan delay, authentication delay and re-association delay respectively and the overall mobility management scheme thus reduces the handoff delay.
Abstract: In 802.11 wireless infrastructure networks, as the mobile node moves from one access point to another, the active connections will not be badly dropped if the handoff is smooth and if there are sufficient resources reserved in the target access point. In a 5x5 grid of access points, within a 6x6 grid of regions, by location tracking and data mining, we predict the mobility pattern of mobile node with good accuracy. The pre-scanning of mobile nodes, along with pre-authenticating neighbouring access points and pre-reassociation is used to reduce the scan delay, authentication delay and re-association delay respectively. The model implements first stage reservation by using prediction results and does second stage reservation based on the packet content type, so that sufficient resources can be reserved when the mobile node does the handoff to the next access point. The overall mobility management scheme thus reduces the handoff delay. The performance simulations are done to verify the proposed model.
TL;DR: This paper introduces a secure re-authentication mechanism named SWMM (Secure Wireless Mobility Management), which is carried out during the cross of mobile stations by different nodes to allow users fulfilling an effective and reliable handoff as well as a secure access to services offered in Mesh network.
Abstract: Mesh technology has captured the interest of university research and industry, because of its capacity to meet at the same time the requirements of suppliers of wireless access to Internet and of users. But, the architecture and the configuration of this type of network do not ensure a protection against the unauthorized use of the network since the basic security measures used do not include the notion of mobility, which characterizes these networks. Our endeavor in this paper is to introduce a secure re-authentication mechanism named SWMM (Secure Wireless Mobility Management), which is carried out during the cross of mobile stations by different nodes to allow users fulfilling an effective and reliable handoff as well as a secure access to services offered in Mesh network. Our study shows that SWMM outperforms other existing method, as a result of a comparison in term of handoff latency, loss and blocking rate.
TL;DR: In this article, the authors predict the mobility pattern of a mobile node with good accuracy in a 5x5 grid of access points, within a 6x6 grid of regions, by location tracking and data mining.
Abstract: In 802.11 wireless infrastructure networks, as the mobile node moves from one access point to another, the active connections will not be badly dropped if the handoff is smooth and if there are sufficient resources reserved in the target access point. In a 5x5 grid of access points, within a 6x6 grid of regions, by location tracking and data mining, we predict the mobility pattern of mobile node with good accuracy. The pre-scanning of mobile nodes, along with pre-authenticating neighbouring access points and pre-reassociation is used to reduce the scan delay, authentication delay and re-association delay respectively. The model implements first stage reservation by using prediction results and does second stage reservation based on the packet content type, so that sufficient resources can be reserved when the mobile node does the handoff to the next access point. The overall mobility management scheme thus reduces the handoff delay. The performance simulations are done to verify the proposed model.