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GSA: an architecture for optimising gateway selection in dynamic routing groups

Authors:
  • VTT Technical Research Centre of Finland Ltd

Abstract and Figures

The proliferation of the increasing number of devices and technologies has brought about the extension of the concept of roaming users to roaming networks. This has inspired many researchers to investigate optimal mechanisms to enable communications for such roaming networks. Within the European 6th Framework Ambient Networks Project, we identify such roaming networks as dynamic routing groups, which consist of a number of different types of nodes with different capabilities. External communications from nodes within the routing group can be done via selected Gateway nodes. In this paper we present the gateway selection architecture (GSA) which provides support for Gateway identification, management and selection for nodes within a RG. We describe the benefits of this architecture and compare it to other known approaches
Gateway selection architecture Figure 1 shows the proposed Gateway selection architecture. The GWS functional area is part of the Ambient Control Space (ACS). The ACS exchanges information with neighbouring Ambient Networks over the Ambient Network Interface (ANI), for example, to collect their radio access network (RAN) capabilities. Within the Ambient Network the Ambient Service Interface (ASI) provides the interface from the ACS to the services. Applications use this interface to inform the GWS about their demands. The ACS controls the user plane over the ARI and configures the Mobile Router according to the GWS decision. The central entity of the GWS architecture is the GWS decision engine. To allow easy customisation and exchange of policies for GWS an explicit representation is recommended. The policies are presented by a set of rules. An inference engine, the GWS decision engine, compares, i.e. matches, the policy rules with the current situation represented by the GWS parameters, selects the best matching rule and executes the rule to select the GW. Please note that the inference engine may apply several match-select-execute cycles, i.e. fire several rules, till the decision is found. The GWS depends on several parameters, such as the context, the nodes in the routing group, the GW capabilities, the RAN capabilities or service demands. The Parameter Collection entity compiles the parameters influencing the decision and stores them in a database. The GWS is either triggered by an initial request from a node asking for a Gateway or a change indication due to altered parameters, for example, loss of RAN connection. The initial trigger sets up the connection, the change trigger ensures actions to maintain the connection. For example, a service
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... In previous work [7], the Gateway Selection Architecture (GSA) was introduced to provide support for gateway identification, management, and selection within a routing group. Of course, one might expect that by grouping nodes and delegating mobility management to the cluster head and the gateways certain performance optimizations are possible as discussed in [7]. ...
... In previous work [7], the Gateway Selection Architecture (GSA) was introduced to provide support for gateway identification, management, and selection within a routing group. Of course, one might expect that by grouping nodes and delegating mobility management to the cluster head and the gateways certain performance optimizations are possible as discussed in [7]. Later, the performance of the GSA was evaluated by simulations in [8]. ...
... Of course, one might expect that by grouping nodes and delegating mobility management to the cluster head and the gateways certain performance optimizations are possible as discussed in [7]. The motivation for including the GWSs aims at simplifying the signalling overhead regarding gateways and their capabilities. ...
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Many anticipate a future wireless world filled by a multitude of user devices and wireless technologies. Effective management of this kind of heterogeneous, mobile, and rapidly changing ad hoc networks will be a challenging task. We present and evaluate the Ambient Networks Gateway Selection Architecture (GSA), which provides support for gateway discovery, management, and selection for mobile nodes within dynamic routing groups. A routing group (RG) is a cluster of nodes in physical proximity, aware of the group membership, with a common goal of optimizing mobility management and routing functionality in the group. A gateway is a mobile node that provides packet relaying and connectivity services to other nodes in the RG. GSA can be also used outside the Ambient Networks architecture, and we present how it can be used with two existing mobility management protocols, namely Mobile IP and Host Identity Protocol, especially in the case of moving networks. Our simulation studies show the benefits gained from group formation when compared to same functionalities implemented in every individual node. We also compare the GSA hybrid signaling strategy with proactive and reactive approaches; the simulation results show that the hybrid approach scales better when the routing group size grows. Keywords—Ambient Networks, gateway selection, Host Iden- tity Protocol (HIP), mobile computing, Mobile IP (MIP), mobility management, moving networks, routing group
... In previous work [3], the Gateway Selection Architecture (GSA) was introduced to provide support for gateway identification , management, and selection within a routing group. Emphasis was given to node clustering and gateway selection. ...
... This allows even more possibilities for optimizations than a cluster. Of course, one might expect that by grouping nodes and delegating mobility management to the cluster head and the gateways certain performance optimizations are possible as discussed in [3]. The second contribution, presented in §V-VI is an attempt to quantify using simulation the benefits from employing GSA in scenarios where several nodes move in a mass transit vehicle. ...
Conference Paper
We study the performance of the gateway selection architecture (GSA), developed within the framework of the EU ambient networks integrated project, which provides support for gateway discovery, management, and selection for mobile nodes within dynamic routing groups. A routing group (RG) is a cluster of nodes in physical proximity, aware of the group membership, especially in the context of the Ambient Networks architecture, with a common goal of optimizing mobility management and routing functionality in the group. We present two examples on how GSA can be introduced using existing protocols, namely MIP and HIP. Our simulation studies show the benefits gained from group formation when compared to same functionalities implemented in every individual node, and compare the GSA optimized signaling strategy with other competitive approaches.
... The Gateway Selection Architecture (GSA) [2] was developed based on the assumption that some RG nodes are not capable or willing to do GW selection for themselves. GSA introduces special Gateway Selector (GWS) nodes that make the GW decision on behalf of other nodes. ...
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