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Bioans: bio-inspired ambient intelligence protocol for wireless sensor networks

Bioans: bio-inspired ambient intelligence protocol for wireless sensor networks

Breza, Michael, Anthony, Richard and McCann, Julie A. (2007) Bioans: bio-inspired ambient intelligence protocol for wireless sensor networks. Ubiquitous Computing and Communication Journal. ISSN 1994-4608 (Print), 1992-8424 (Online)

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Abstract

This paper describes the BioANS (Bio-inspired Autonomic Networked Services) protocol that uses a novel utility-based service selection mechanism to drive autonomicity in sensor networks. Due to the increase in complexity of sensor network applications, self-configuration abilities, in terms of service discovery and automatic negotiation, have become core requirements. Further, as such systems are highly dynamic due to mobility and/or unreliability; runtime self-optimisation and self-healing is required. However the mechanism to implement this must be lightweight due to the sensor nodes being low in resources, and scalable as some applications can require thousands of nodes. BioANS incorporates some characteristics of natural emergent systems and these contribute to its overall stability whilst it remains simple and efficient. We show that not only does the BioANS protocol implement autonomicity in allowing a dynamic network of sensors to continue to function under demanding circumstances, but that the overheads incurred are reasonable. Moreover, state-flapping between requester and provider, message loss and randomness are not only tolerated but utilised to advantage in the new protocol.

Item Type: Article
Additional Information: [1] This paper was published in a Special Issue of the journal.
Uncontrolled Keywords: service-selection, autonomic, emergence, wireless sensor network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5544

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