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Data Highways: An Activator–Inhibitor–Based Approach for Autonomic Data Dissemination in Ad Hoc Wireless Networks1

Data Highways: An Activator–Inhibitor–Based Approach for Autonomic Data Dissemination in Ad Hoc Wireless Networks1

Karina Mabell Gomez, Daniele Miorandi, David Lowe
Copyright: © 2012 |Pages: 19
ISBN13: 9781613500927|ISBN10: 1613500920|EISBN13: 9781613500934
DOI: 10.4018/978-1-61350-092-7.ch012
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MLA

Gomez, Karina Mabell, et al. "Data Highways: An Activator–Inhibitor–Based Approach for Autonomic Data Dissemination in Ad Hoc Wireless Networks1." Biologically Inspired Networking and Sensing: Algorithms and Architectures, edited by Pietro Lio and Dinesh Verma, IGI Global, 2012, pp. 223-241. https://doi.org/10.4018/978-1-61350-092-7.ch012

APA

Gomez, K. M., Miorandi, D., & Lowe, D. (2012). Data Highways: An Activator–Inhibitor–Based Approach for Autonomic Data Dissemination in Ad Hoc Wireless Networks1. In P. Lio & D. Verma (Eds.), Biologically Inspired Networking and Sensing: Algorithms and Architectures (pp. 223-241). IGI Global. https://doi.org/10.4018/978-1-61350-092-7.ch012

Chicago

Gomez, Karina Mabell, Daniele Miorandi, and David Lowe. "Data Highways: An Activator–Inhibitor–Based Approach for Autonomic Data Dissemination in Ad Hoc Wireless Networks1." In Biologically Inspired Networking and Sensing: Algorithms and Architectures, edited by Pietro Lio and Dinesh Verma, 223-241. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-092-7.ch012

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Abstract

The design of efficient routing algorithms is an important issue in dense ad hoc wireless networks. Previous theoretical work has shown that benefits can be achieved through the creation of a set of data “highways” that carry packets across the network, from source(s) to sink(s). Current approaches to the design of these highways however require a–priori knowledge of the global network topology, with consequent communications burden and scalability issues, particularly with regard to reconfiguration after node failures. In this chapter, we describe a bio–inspired approach to generating these data highways through a distributed reaction–diffusion model that uses localized convolution with activation–inhibition filters. The result is the distributed emergence of data highways that can be tuned to provide appropriate highway separation and connection to data sinks. In this chapter, we present the underlying models, algorithms, and protocols for generating data highways in a dense wireless sensor network. The proposed methods are validated through extensive simulations performed using OMNeT++.

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