Context-aware protocol engines for ad hoc networks

Garcia-Luna-Aceves, J. J.; Mosko, Marc; Solís, Ignacio; Braynard, R.; Ghosh, Rumi

doi:10.1109/mcom.2009.4785392

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Recent research and present existing mechanisms do not provide a particularly good fit for a certain environment and an alternative paradigm is needed for a particular scenario such as field‐based anycast routing using temperature field , a bidirectional abstraction to routing protocols for the asymmetric mobile network , network science‐based approaches for military applications and context‐aware protocol engine . To cope with these demands management solutions based on cross‐layer design are necessary for efficient utilization of the limited resources in future wireless networks.…”

Section: Related Workmentioning

confidence: 99%

Self‐adapting protocol tuning for multi‐hop wireless networks using Q‐learning

Marconett

Lee

et al. 2012

Int J Network Mgmt

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SUMMARYToday's network control systems have very limited ability to adapt to changing network conditions. The addition of reinforcement learning-based network management agents can improve quality of service by reconfiguring the network layer protocol parameters in response to observed network performance conditions. This paper presents a closed-loop approach to tuning the layer three protocol based upon current and previous network state observations, specifically the Hello Interval and Active Route Timeout parameters of the AODV routing protocol (AODV-Q). Simulation results demonstrate that the self-configuration method proposed here demonstrably improves the performance of the original Ad-Hoc On-Demand Distance Vector (AODV) protocol, reducing protocol overhead by 43% and end-to-end delay 29% while increasing the packet delivery ratio by up to 11%.

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Section: Related Workmentioning

confidence: 99%

Self‐adapting protocol tuning for multi‐hop wireless networks using Q‐learning

Marconett

Lee

et al. 2012

Int J Network Mgmt

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“…Recent initiatives have begun to address the problem of organising nodes according to the level of understanding about their environment, so that further improvements in operational and network performance can be achieved [10][11][12], however this view is mostly taken towards the network and medium access control layers.…”

Section: Related Workmentioning

confidence: 99%

“…This is achieved by taking a "situation awareness" perspective of the surveillance environment, which mainly addresses the drawbacks of existing systems highlighted in the previous section, by minimising on the task driven criteria required for sensor management. Situation awareness (SA) is an application-orientated approach, offering a different perspective to [10][11][12] and can be neatly described through expanding Endsley's "tripartite" model [13]:…”

Section: Vigilant + Distributed Autonomic Surveillance Networkingmentioning

confidence: 99%

VIGILANT+: mission objective interest groups for wireless sensor network surveillance applications

Ghataoura

Mitchell²,

Matich

2011

IET Wireless Sensor Systems

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In this paper a system termed VIGILANT + is outlined, which utilises situation awareness for the purposes of enabling distributed, autonomic, sensor management, so that savings on consumption of network resources can be achieved. VIGILANT + is a novel proposition allowing deployed, unattended, wireless sensor nodes to selforganise into dynamic groups and self-manage their transmissions efficiently, according to a current common mission objective. Firstly, a distributed situation assessment system named PORTENT models, detects and characterises potential situations occurring within an uncertain environment, using the metric, quality of surveillance information (QoSI). Secondly, a Bayesian Belief Network (BBN) is utilised to understand and analyse the significance associated with the potential situation, primarily to enable deployed sensors to selforganise and assign themselves to mission objectives autonomously. Thirdly, a system is introduced for distributed autonomic transmission control, which enables the efficient management of sensor network resource consumption. Simulations have been undertaken to verify the integrated VIGILANT + concepts and to demonstrate the effectiveness of the proposed approach in improving network efficiency, without compromising the presentation of mission surveillance utility.

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