Ant Routing in Mobile Ad Hoc Networks

Dhillon, Sukhwinder Singh; Arbona, X.; Mieghem, Piet Van

doi:10.1109/icns.2007.35

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…Switched ACO based MP-DSR (SAMP-DSR) [8] is based on Multi-Path Dynamic Source Routing introduced in [9] and Enhanced Multi-path Dynamic Source Routing (EM P-DSR) algorithm proposed in [10], which uses ants pro-actively to feed its re -active path discovery process with global data. The approach presented in [8] is a QoS-aware routing protocol, considering end-to-end reliability parameter as a constraint while t rying to minimize other parameters such as delay.…”

Section: Samp-dsrmentioning

confidence: 99%

Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligence

Raghavendran¹,

Satish²,

Varma³

2012

IJISA

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A Mobile Ad hoc Network (MANET) is a collection of autonomous self-organized nodes. They use wireless mediu m for co mmunicat ion, thus two nodes can communicate directly if and only if they are within each other"s transmission radius in a mu lti-hop fashion. Many conventional routing algorithms have been proposed for MANETs. An emerg ing area that has recently captured much attention in network routing researches is Swarm Intelligence (SI). Besides conventional approaches, many new researches have proposed the adoption of Swarm Intelligence for MANET routing. Swarm Intelligence (SI) refers to complex behaviors that arise fro m very simp le individual behaviors and interactions, which is often observed in nature, especially among social insects such as ants, bees, fishes etc. Although each individual has little intelligence and simp ly follows basic rules using local in formation obtained fro m the environ ment. Ants routing resembles basic mechanisms fro m distributed Swarm Intelligence (SI) in b iological systems and turns out to become an interesting solution where routing is a problem. Ants based routing is gaining more popularity because of its adaptive and dynamic nature. A nu mber of Swarm Intelligence (SI) based algorithms were p roposed by researchers. In this paper, we study bio-inspired routing protocols for MANETs.

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Section: Samp-dsrmentioning

confidence: 99%

Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligence

Raghavendran¹,

Satish²,

Varma³

2012

IJISA

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“…Coal production technology database is responsible to store and manage the production technology information, which generated in mine design and production process mainly including geological data which signifies the geological relationship, the device information from mine production, production design information from the 179 production process and Real-time monitoring test data during production and so on [7,8]. The data is the basis of achieve a virtual 3D geological modeling and mine, which all require to store in a database by a variety of file formats, coal mine database system structure shown in Fig.3.…”

Section: Figure 2 Evolution Of Database Information Flowmentioning

confidence: 99%

VRP-SDK based virtual mine system and its application

Wang

Shi²

2012

2012 IEEE Symposium on Electrical &Amp; Electronics Engineering (EEESYM)

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Virtual reality as a new integrated information technology, whose high-dimensional expression of mass information capacity will fully play its role on the coal mine industry, will greatly impact on mine production management methods and decision-making ideas of mine professional. This paper studies how to apply the virtual reality platform VRP to create virtual mine system suitable for business needs of the coal mines. It introduces the main framework of virtual mine system,the database establishment of coal production technology, modeling of virtual mine scene, and so on. PangZhuang Coal Mine Virtual Mine system which is developed by these methods realizes real time display and dynamic simulation of all kinds of geological structure and artificial structures and obtained the preliminary application.

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“…Systems vary among others in terms of formulas used for pheromone updates, cost functions (hop-count, delay, or some measure of link quality including signalto-noise ratio, congestion or packet loss ratio, or any combination of those) and mechanisms used to improve the performance. Studies such as [3,9] have shown that directly applying ant-based systems developed for wired networks such as AntNet results in lower performance compared to conventional MANETs protocols, and in particular to AODV [21], which is used as the reference protocols in most of the studies. In the following, the focus is on the mechanisms introduced specifically to address the challenges listed in Section 2.2.…”

Section: Solutionsmentioning

confidence: 99%

Ant-Based Systems for Wireless Networks: Retrospect and Prospects

Paquereau

Helvik

2012

Self-Organizing Systems

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Since they were first introduced as powerful stochastic optimization systems, ant-based systems have been applied to a wide range of problems. One of the most successful applications has been routing in dynamic wired telecommunication networks. Following this success, similar approaches have been applied to routing in multi-hop wireless networks. The objective has been to achieve self-organizing path management in these networks. This paper looks back on 10 years of research and presents reflections on the challenges, the evolution, the contributions and the future perspectives in this field.

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Ant Routing in Mobile Ad Hoc Networks

Abstract: We study the

Cited by 9 publications

References 11 publications

Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligence

Intelligent Routing Techniques for Mobile Ad hoc Networks using Swarm Intelligence

VRP-SDK based virtual mine system and its application

Ant-Based Systems for Wireless Networks: Retrospect and Prospects

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