Location Registration And Paging Algorithm Computer Science
The future wireless access networks, such as cellular networks, wireless local area networks (WLAN), mobile WiMAX and satellite networks are complementary to each other in terms of coverage, mobility and bandwidth. The cellular networks provide high mobility with large coverage area, while WLAN provides low mobility but high bandwidth with cheap price. The mobile users can select an appropriate access network with multi radio mobile terminal (MT) to receive efficient service. The future wireless communication systems enable the mobile terminal to roam between different wireless systems, network operators and geographical regions. These networks could be heterogeneous networks as third generation (3G) cellular network/WiFi network. The network must be able to track the mobile terminal to provide the service anytime and anywhere. A location management service is needed to track the mobile terminal within its network and other networks. This work focuses on the tracking of the mobile terminals inside buildings where the mobile terminal lost the connection with its network due to the multipath phenomena, attenuation and coverage considerations. The mobile terminal has to find the available networks inside the buildings, register its location and continue receive the service via the intersystem interfaces. The most applicable wireless networks inside the building are WLANs. For those reasons, we consider the location management for indoor wireless network via 802.11 WLAN. Hence a location registration and paging algorithm is required for the mobile terminal to guarantee delivery of the service and determine the service quality based on the received signal strength indicator (RSSI). The needed location management strategy must be efficient to balance the location update and paging operations and minimize the number of location registration and paging messages and hence the overall signaling cost.
Solutions have been proposed in (Ramjee et al. 2001; Soliman et al. 2000) to support mobility in future IP based wireless networks. The IEEE 802.11 Wireless Local Area Network (WLAN) was selected to be the wireless communications technology in an indoor environment. WLAN networks are being deployed in the most of the building and it is expected a major penetration in the next years (Llombart et al. 2008). These networks provide excellent coverage with the minimum required infrastructures (Wong et al. 2000). The user can connect to different 802.11 WLAN providers while at home or at any indoor area. Similarly, even though multiple wide-area cellular service providers may use the same access technology. The user can dynamically switch between different providers to obtain different sets of customized services. The integration of WLAN into cellular networks and other networks will provide users in indoor areas to use the high-speed wireless network (Shashwat 2003; Ferrus et al. 2010), and use the cellular data network when the user is outdoors. Sakamoto et al. (1996) divided the indoor registration area to private and public registration areas as shown in Figure 1. Private area could be a room or an office. Halls, stairs and elevators are considered as public areas. The movement of the mobile terminal from one private area to another will be cross the public areas. The movement of the mobile terminals during lunch time from private area to a cafeteria located in the first floor of the building has been considered. At this time the location registration traffic of the system is at its extreme. The private areas are denoted with Aij as in Figure 4. 1., where i is the floor number and j is the private area number. Area Bij is a public area on the i-th floor and area Cij is a public area common to all floors (elevators and stairs). The location registration has been performed based on the type of the registration area to which the mobile terminal enters. The authors used three methods of registrations to cope with the congested control traffic for multimedia communication systems.
Figure 4. 1 Area structure model for an office building
The objective of this part of research is to establish an indoor mobility model to represent the behavior of the mobile terminal inside buildings and to propose an efficient location registration and paging algorithm based on the established mobility model for in indoor heterogeneous wireless networks. We propose RSS threshold-based location registration with sequential paging algorithm to update the location information of the mobile terminal database when MT is in an indoor environment and out of coverage from its service provider.4. 2
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