Saginbekov, Sain and Jhumka, Arshad (2014) Efficient code dissemination in wireless sensor networks. Future Generation Computer Systems, Volume 39 . pp. 111-119. doi:10.1016/j.future.2013.12.008

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Abstract

Given the dynamic nature of the mission of a wireless sensor network (WSN), and of the environment in which it is usually deployed, network reprogramming is an important activity that enables the WSN to adapt to the mission and/or environment. One important component of a reprogramming protocol is the code dissemination and maintenance, during which a new code is propagated to relevant WSN nodes. Several dissemination protocols have been proposed, each with a specific objective in mind. Protocols such as Trickle minimize dissemination latency by periodically broadcasting advertisement messages at the expense of energy consumption, while protocols, e.g., Varuna, reduce the energy usage by broadcasting advertisement only when needed. In certain type of WSNs, such as event-based WSNs, Varuna has high code dissemination latency, while the energy consumption of Trickle does not improve in such WSNs. Further, the efficiency of Varuna drops drastically in the presence of asymmetric links. In this paper, we propose a new code dissemination protocol, called Triva, for event-based WSNs, by leveraging the properties of Trickle and Varuna. Our simulation and experimental results show that, for event-based WSNs, Triva outperforms Trickle and Varuna in terms of energy consumption and code dissemination latency respectively. Triva also outperforms Trickle and Varuna when there are unidirectional links in the network. We also show that Triva provides excellent results during bursty traffic in event-based WSNs. Triva is the first information dissemination protocol for event-based WSNs and that tolerates asymmetric links.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Wireless sensor networks, Information technology
Journal or Publication Title:	Future Generation Computer Systems
Publisher:	Elsevier Science BV
ISSN:	0167-739X
Official Date:	October 2014
Dates:	Date Event October 2014 Published 14 December 2013 Available 3 December 2013 Accepted 1 February 2013 Submitted
Date of first compliant deposit:	28 December 2015
Volume:	Volume 39
Number of Pages:	16
Page Range:	pp. 111-119
DOI:	10.1016/j.future.2013.12.008
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Embodied As:	1

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