Ant-Based Distributed Topology Control Algorithms for Mobile Ad hoc Networks

Shen, Chien-Chung; Huang, Zhuochuan; Jaikaeo, Chaiporn

doi:10.1007/s11276-005-6613-8

Cited by 15 publications

(2 citation statements)

References 22 publications

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“…In the case of critical nodes, which cannot be covered with this simple scheme, nodes cooperate to increase their transmission power levels to cover these nodes too. Similarly, in ABTC (Ant-Based Topology Control) [Shen et al 2005], each node periodically collects local information from nearby nodes via sending and receiving ant packets. By using swarm intelligence as an adaptive search mechanism, ABTC finds a good power assignment for the mobility situation based on the minimization objectives of either the total network or maximum node energy consumptions.…”

Section: Topology Management Through Link Adaptationmentioning

confidence: 99%

A survey of adaptive services to cope with dynamics in wireless self-organizing networks

2012

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In this paper, we consider different types of wireless networks that benefit from-and, in certain cases, require-self-organization. Taking mobile ad hoc, wireless sensor, wireless mesh, and delay-tolerant networks as examples of Wireless Self-Organizing Networks (WSONs), we identify that common challenges these networks face are mainly due to lack of centralized management, device heterogeneity, unreliable wireless communication, mobility, resource constraints, or the need to support different traffic types. In this context, we survey several adaptive services proposed to handle these challenges. In particular, we group the adaptive services as core services and network-level services. By categorizing different types of services that handle adaptation and the types of adaptations, we intend to provide useful design guidelines for achieving self-organizing behavior in network protocols. Finally, we discuss open research problems to encourage the design of novel protocols for WSONs.

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Section: Topology Management Through Link Adaptationmentioning

confidence: 99%

A survey of adaptive services to cope with dynamics in wireless self-organizing networks

2012

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“…Therefore, the size of the search space of the topology control problem is O(k n ). We use swarm intelligence to design a distributed topology control algorithm termed Ant-Based Topology Control (ABTC) [9,16] for mobile ad hoc networks. ABTC adapts well to mobility, and its operations do not require any geographical location, angle-of-arrival, topology, or routing information.…”

Section: Topology Controlmentioning

confidence: 99%

Ad Hoc Networking with Swarm Intelligence

Shen

Jaikaeo

Srisathapornphat

et al. 2004

Ant Colony Optimization and Swarm Intelligence

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Abstract. Ad hoc networks consist of mobile nodes that autonomously establish connectivity via multihop wireless communications. Swarm intelligence refers to complex behaviors that emerge from very simple individual behaviors and interactions. In this paper, we describe the ANSI project that adopts swarm intelligence as an adaptive distributed control mechanism to design multicast routing, topology control, and energy conservation protocols for mobile ad hoc networks.

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Swarm intelligence‐based anycast routing protocol in ubiquitous networks

Hwang

Hoh

Wang

2009

Wireless Communications

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As digital devices with communication capability become more pervasive, we are entering the era of ubiquitous computing, as predicted by Mark Weiser. In ubiquitous environments, distributed context management servers are deployed everywhere to provide information and computing resources for users anytime and anywhere. Smart handheld computing devices with context‐aware applications may retrieve context information from the nearest server. This study investigates the problem of routing packets to the nearest server in a ubiquitous environment. An anycast routing protocol based on swarm intelligence, referred to as ARPSI, is proposed to route packets dynamically to a nearby server in a mobile, ad hoc, wireless network. Based on swarm intelligence, ARPSI is able to find a short path to a neighboring server efficiently and quickly. Simulations are conducted to evaluate the performance of ARPSI and our simulation results show that ARPSI achieves a higher packet delivery ratio, shorter routing path to anycast servers, and lower control packet overhead than the AODV‐based anycast protocol (A‐AODV) protocol. Copyright © 2009 John Wiley & Sons, Ltd.

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Ant-Based Distributed Topology Control Algorithms for Mobile Ad hoc Networks

Cited by 15 publications

References 22 publications

A survey of adaptive services to cope with dynamics in wireless self-organizing networks

A survey of adaptive services to cope with dynamics in wireless self-organizing networks

Ad Hoc Networking with Swarm Intelligence

Swarm intelligence‐based anycast routing protocol in ubiquitous networks

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