Bio-inspired networking: from theory to practice

Dressler, Falko; Akan, Özgür B.

doi:10.1109/mcom.2010.5621985

Cited by 127 publications

(61 citation statements)

References 21 publications

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“…MANETs are inherently infrastructure-less and dynamic and have to operate autonomously. Bio-inspired routing approaches can provide efficient and scalable solution strategies to such types of networks [4,5] .…”

Section: Several Routing Protocols For Manets Have Beenmentioning

confidence: 99%

Improved AntHocNet with Bidirectional Path Setup and Loop Avoidance

Rahman¹,

Nam²,

Khan³

et al. 2017

The Journal of Korean Institute of Communications and Informati

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Routing in mobile ad hoc networks (MANETs) is highly challenging because of the dynamic nature of network topology. AntHocNet is a bio-inspired routing protocol for MANETs that mimics the foraging behavior of ants. However, unlike many other MANET routing protocols, the paths constructed in AntHocNet are unidirectional, which requires a separate path setup if a route in the reverse direction is also required. Because most communication sessions are bidirectional, this unidirectional path setup approach is often inefficient.Moreover, AntHocNet suffers from looping problems because of its property of multiple paths and stochastic data routing. In this paper, we propose a modified path setup procedure that constructs bidirectional paths. We also propose solutions to some of the looping problems in AntHocNet. Simulation results show that performance is significantly enhanced in terms of overhead, end-to-end delay, and delivery ratio when loops are prevented.Performance is further improved, in terms of overhead, when bidirectional paths setup is employed.

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Section: Several Routing Protocols For Manets Have Beenmentioning

confidence: 99%

Improved AntHocNet with Bidirectional Path Setup and Loop Avoidance

Rahman¹,

Nam²,

Khan³

et al. 2017

The Journal of Korean Institute of Communications and Informati

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“…Bee swarms [13] exhibit much intelligent behaviour in their tasks such as nest site building, marriage, foraging, navigation and task selection. There is an efficient task selection mechanism in a bee swarm that can be adaptively changed by the state of the hive and the environment.…”

Section: Swarm Intelligence Based Routing Algorithmmentioning

confidence: 99%

A Survey Paper on Particle Swarm Optimization based Routing Protocols in Mobile Ad-Hoc Networks

Dixit¹,

Singhai²

2015

IJCA

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Swarm Intelligence is an artificial intelligence discipline which is concerned with the design of intelligent multi-agent systems by taking inspiration from the collective behaviours of social insects and other animal societies. They are characterized by a decentralized way of working that mimics the behaviour of the swarm. Swarm Intelligence is a successful paradigm for the algorithm with complex problems. The purpose of the research is to apply swarm intelligence on routing algorithms used in MANET. Swarm intelligence based routing algorithm will more promising for specific nature of ad-hoc networks and will outperform in real scenarios/constraints/environmental conditions and will tune and simulate to get an efficient and effective routing protocol for MANET.

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“…Over the last decade, networking researchers have increasingly turned towards biology for inspiration when developing more efficient, scalable and robust communications networks [13,26,29]. Table 1 illustrates some key examples of communication network management problems that have addressed using approaches inspired by biological systems.…”

Section: Federation Of Systems Employing Bio-inpired Processesmentioning

confidence: 99%

Federation Lifecycle Management Incorporating Coordination of Bio-inspired Self-management Processes

et al. 2013

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As it has evolved, the Internet has had to support a broadening range of networking technologies, business models and user interaction modes. Researchers and industry practitioners have realised that this trend necessitates a fundamental rethinking of approaches to network and service management. This has spurred significant research efforts towards developing autonomic network management solutions incorporating distributed self-management processes inspired by biological systems. Whilst significant advances have been made, most solutions focus on management of single network domains and the optimisation of specific management or control processes therein. In this paper we argue that a networking infrastructure providing a myriad of loosely coupled services must inherently support federation of network domains and facilitate coordination of the operation of various management processes for mutual benefit. To this end, we outline a framework for federated management that facilitates the coordination of the behaviour of bio-inspired management processes. Using a case study relating to distribution of IPTV content, we describe how Federal Relationship Managers realising our layered model of management federations can communicate to manage service provision across multiple application/storage/network providers. We outline an illustrative example in which storage providers are dynamically added to a federation to accommodate demand spikes, with appropriate content being migrated to those providers servers under control of a bio-inspired replication process.

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Bio-inspired networking: from theory to practice

Cited by 127 publications

References 21 publications

Improved AntHocNet with Bidirectional Path Setup and Loop Avoidance

Improved AntHocNet with Bidirectional Path Setup and Loop Avoidance

A Survey Paper on Particle Swarm Optimization based Routing Protocols in Mobile Ad-Hoc Networks

Federation Lifecycle Management Incorporating Coordination of Bio-inspired Self-management Processes

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