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CCE Faculty Articles
Cognitive and self-selective routing for sensor networks
Document Type
Article
Publication Title
Computational Management Science
ISSN
1619-697X
Publication Date
8-1-2011
Abstract
New approaches to Quality-of-Service (QoS) routing in wireless sensor networks which use different forms of learning are the subject of this paper. The Cognitive Packet Network (CPN) algorithm uses smart packets for path discovery, together with reinforcement learning and neural networks, while Self-Selective Routing (SSR) is based on the “Ant Colony” paradigm which emulates the pheromone-based technique which ants use to mark paths and communicate information about paths between different insects of the same colony (Koenig et al. in Ann Math Artif Intell 31(1–4): 41–76, 2001). In this paper, we present first experimental results on a network test-bed to evaluate CPN’s ability to discover paths having the shortest delay, or shortest length. Then, we present small test-bed experiments and large-scale network simulations to evaluate the effectiveness of the SSR algorithm. Finally, the two approaches are compared with respect to their ability to adapt as network conditions change over time.
DOI
10.1007/s10287-009-0102-y
Volume
8
Issue
3
First Page
237
Last Page
258
NSUWorks Citation
Gelenbe, Erol; Liu, Peixiang; Szymanski, Boleslaw K.; and Morrell, Christopher, "Cognitive and self-selective routing for sensor networks" (2011). CCE Faculty Articles. 121.
https://nsuworks.nova.edu/gscis_facarticles/121
Comments
Research was sponsored by US Army Research Laboratory and the UK Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. The collaboration was also supported by the NSF Grant OISE-0334667. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory, the U.S. Government, the UK Ministry of Defence, or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.