A unified framework for resource discovery and QoS-aware provider selection in ad hoc networks

Liu, Jiangchuan; Zhang, Qian; Li, Bo; Zhu, Wenwu; Zhang, Jun

doi:10.1145/511226.511227

Cited by 26 publications

(19 citation statements)

References 25 publications

(30 reference statements)

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“…MANET characteristics include a preference for reactive (on-demand) routing, unpredictable and frequent topology changes and distributed control [18]. The primary MANET limitations remain limited bandwidth and battery power [18].…”

Section: Manet Architecturementioning

confidence: 99%

“…This technology has practical use whenever a temporary network with no fixed infrastructure is needed. Other uses include rescue operations and sensor networks [13] [18]. The support of these military and civilian uses often requires the presence of a database to store and transmit critical mission information such as inventories and tactical information.…”

Section: Introductionmentioning

confidence: 99%

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Research issues for data communication in mobile ad-hoc network database systems

Fife

Gruenwald

2003

SIGMOD Rec.

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Section: Manet Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research issues for data communication in mobile ad-hoc network database systems

Fife

Gruenwald

2003

SIGMOD Rec.

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“…A virtual backbone (VB) [6] is one common clustering substructure that is exploited mostly in (reliable) service discovery in ad hoc networks [10,16,18,19]. A VB consists of a subset of nodes such that the backbone nodes are able to discover and communicate with one another.…”

Section: Introductionmentioning

confidence: 99%

On stability analysis of virtual backbone in mobile ad hoc networks

Hökelek

Fecko²

2006

Wireless Netw

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Service discovery architectures and clusterassisted routing protocols in mobile ad-hoc networks (MANETs) heavily use formation and maintenance of a virtual backbone (VB), where the most stable mobile nodes with higher node degree are dynamically selected as the backbone nodes. In this paper we present a novel analytic model for VB stability in MANETs. The model employs the dynamics of node movements, where link creation/failure is modeled via a random walk with probabilistic state-transition matrix. The backbone formation algorithm gives preference to the nodes with the smaller number of link changes and the higher degree. Therefore, the link arrivals and departures determine the probability (and thus the expected time) for a mobile node to leave, join, or remain in the backbone, i.e., the stability of a dynamic structure of VB.

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“…Multi-hop communication between two mobile nodes within an ad-hoc network takes place when these nodes are not in direct radio range, with other nodes acting as routers [27]. Thus, an ad-hoc network has no fixed infrastructure where each mobile host can act as a router and moves in an arbitrary manner.…”

Section: Wireless Ad-hoc Networkmentioning

confidence: 99%

“…Their results show that their scheme achieves reduced end-to-end delay compared to conventional ant-based and AODV routing protocols. Lui et al [27] presents a unified framework for resource discovery and QoS-aware provider selection in ad-hoc networks by the use of self-organized discovery agents. Simulation results show that their framework improves the QoS delivered to the clients, while cost and response time are kept at a low level.…”

Section: Similar Research Involved In This Fieldmentioning

confidence: 99%

Mobile agents for routing, topology discovery, and automatic network reconfiguration in ad-hoc networks

Migas

Buchanan

McArtney

10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, 2003. Proceedings.

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Wireless networks and the usage of mobile devices are becoming popular in recent days, especially in creating ad-hoc networks. There is thus scope for developing mobile systems, where devices take an active part of creating a network infrastructure, and can actually be used to route data between networks. This research proposes to assess different models of the usage of static and mobile agents to determine the best route through ad-hoc networks. The determination of this route is a complex one, and requires research into the best metrics to identify the best path, such as memory capacity, network performance, processing capabilities, cost, and so on. One model is to use a mixture of mobile and static agents to gather relevant information. These agents could perform important tests, which could be used to generate the best route through a network. This research looks at different models for the deployment of these agents, which balance the usage of static and mobile agents. These are appraised in the terms of performance, reconfigurability, and easy of installation.

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A unified framework for resource discovery and QoS-aware provider selection in ad hoc networks

Cited by 26 publications

References 25 publications

Research issues for data communication in mobile ad-hoc network database systems

Research issues for data communication in mobile ad-hoc network database systems

On stability analysis of virtual backbone in mobile ad hoc networks

Mobile agents for routing, topology discovery, and automatic network reconfiguration in ad-hoc networks

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