Output details
11 - Computer Science and Informatics
University of York
Article title
Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling
Type
D - Journal article
Title of journal
International Journal of Distributed Sensor Networks
Article number
172012
Volume number
2013
Issue number
n/a
First page of article
1
ISSN of journal
1550-1329
Year of publication
2013
Number of additional authors
5
Additional information
<02>This paper is an invited extension of the paper that won the best paper award at NESEA 2012. It presents a novel approach to pheromone-based algorithms, enabling its application to a wide range of load balancing problems. Paper focuses on load balancing in WSNs, uses extensive system-level simulation and a physical deployment with IRIS motes to show the improvement on service availability (up to 85%) and network lifetime (10%) enabled by the proposed algorithm. Further investigation within successful EU FP7 proposal DreamCloud will apply this technique to balance load on many-core and cloud platforms.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Real-Time Systems
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
