Paper Info
Title
Efficient code dissemination in wireless sensor networks.
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.
Year
DOI
Venue
2014
10.1016/j.future.2013.12.008
Future Generation Computer Systems
Keywords
Field
DocType
Information dissemination,Wireless sensor networks,Event-based,Asymmetric links
Code dissemination,Broadcasting,Latency (engineering),Computer science,Computer network,Real-time computing,Information Dissemination,Energy consumption,Wireless sensor network,Network reprogramming,TRICKLE,Distributed computing
Journal
Volume
ISSN
Citations 
39
0167-739X
6
PageRank 
References 
Authors
0.46
20
2
Name
Order
Citations
PageRank
Sain Saginbekov1243.89
Arshad Jhumka2121.24