HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network

Wang, Jianping; Osagie, Eseosa; Thulasiraman, Parimala; Thulasiram, Ruppa K.

doi:10.1016/j.adhoc.2008.06.001

Cited by 192 publications

(97 citation statements)

References 27 publications

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“…Another example is HOPNET [47], which combines antinspired routing with the Zone Routing Protocol (ZRP) [48]. In HOPNET (as in ZRP), each node has a zone, which consists of all nodes within a specified number of hops from the node.…”

Section: Ongoing Workmentioning

confidence: 99%

A taxonomy of biologically inspired research in computer networking

2010

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a b s t r a c tThe natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-organize, self-repair, navigate, and flourish. Generally, they do so with only local knowledge and without any centralized control. Our computer networks are increasingly facing similar challenges as they grow larger in size, but are yet to be able to achieve the same level of robustness and adaptability. Many research efforts have recognized these parallels, and wondered if there are some lessons to be learned from biological systems. As a result, biologically inspired research in computer networking is a quickly growing field. This article begins by exploring why biology and computer network research are such a natural match. We then present a broad overview of biologically inspired research, grouped by topic, and classified in two ways: by the biological field that inspired each topic, and by the area of networking in which the topic lies. In each case, we elucidate how biological concepts have been most successfully applied. In aggregate, we conclude that research efforts are most successful when they separate biological design from biological implementation -that is to say, when they extract the pertinent principles from the former without imposing the limitations of the latter.

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Section: Ongoing Workmentioning

confidence: 99%

A taxonomy of biologically inspired research in computer networking

2010

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“…The direction is then determined according to the obtained results. ACO has been used in following areas before: various subfields of data mining [16], real world problems [17], mathematical modeling [18], network routing problems [19], prediction of energy consumption [20], and software testing [21].…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

A bat-inspired algorithm for prioritizing test cases

Öztürk

2017

Vietnam J Comput Sci

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By ordering test cases, early fault detection is focused on test case prioritization. In this field, it is widely known that algorithm and coverage criteria focused works are common. Previous works, which are related to test case prioritization, showed that practitioners need a novel method that optimizes test cases according to the cost of each test case instead of regarding the total cost of a test suite. In this work, by utilizing local and global search properties of a bat algorithm, a new bat-inspired test cases prioritization algorithm (BITCP) is proposed. In order to develop BITCP, test case execution time and the number of faults were adapted to the distance from the prey and loudness, respectively. The proposed method is then compared with four methods which are commonly used in this field. According to the results of the experiment, BITCP is superior to the conventional methods. In addition, as the complexity of the code of test cases increases, the decline in average percentage of fault detection is less in BITCP than the other four comparison algorithms produced.

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“…AODV, DSR, ABR and TORA are protocols in this category. The characteristics of proactive and reactive routing protocols can be integrated in various ways to form hybrid networking protocols such as zone routing protocol (ZRP) [5]. These approaches are discussed and compared in detail in [6].…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of Quality of Service routing in Mobile Ad hoc Networks

2016

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Mobile ad hoc networks (MANETs) are a group of mobile nodes that are connected without using a fixed infrastructure. In these networks, nodes communicate with each other by forming a single-hop or multi-hop network. To design effective mobile ad hoc networks, it is important to evaluate the performance of multi-hop paths. In this paper, we present a mathematical model for a routing protocol under energy consumption and packet delivery ratio of multi-hop paths. In this model, we use geometric random graphs rather than random graphs. Our proposed model finds effective paths that minimize the energy consumption and maximizes the packet delivery ratio of the network. Validation of the mathematical model is performed through simulation.

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HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network

Cited by 192 publications

References 27 publications

A taxonomy of biologically inspired research in computer networking

A taxonomy of biologically inspired research in computer networking

A bat-inspired algorithm for prioritizing test cases

Modeling and optimization of Quality of Service routing in Mobile Ad hoc Networks

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