Computing the State of Specknets: Further Analysis of an Innate Immune-Inspired Model
Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their great complexity, pose considerable challenges for engineers due to the unreliability and scarce resources of individual devices. Their limitations make it difficult to apply traditional engineering approaches. In this paper, we describe a model inspired by the dendritic cells of the innate immune system; often overlooked in artificial immune systems, dendritic cells possess a unique ability to scout the body environment and then present an integrated picture of the internal state of the body to the adaptive system. We adopt a model, inspired by this approach, to sense the state of a Specknet and provide experimental results to show that useful information can be gathered from the Specknet in order to determine local states. Experiments are conducted using realistic random topologies in a simulation environment, in a scenario which models sensing temperature changes.
Unable to display preview. Download preview PDF.
- 2.Arvind, D., Elgaid, K., Krauss, T., Paterson, A., Stewart, R., Thayne, I.: Towards an Integrated Design Approach to Specknets. In: IEEE Int. Conf. Communications 2007, ICC 2007, pp. 3319–3324 (2007)Google Scholar
- 4.Bokareva, T., Bulusu, N., Jha, S.: SASHA: Toward a Self-Healing Hybrid Sensor Network Architecture. In: Proc. 2nd IEEE Workshop Embedded Networked Sensors (EmNetS-II) (June 2005)Google Scholar
- 5.Davoudani, D., Hart, E.: Computing the State of Specknets: An Immune-Inspired Approach. In: Proc. Int. Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2008, Edinburgh, UK, June 16–18 (2008)Google Scholar
- 7.Dressler, F.: Benefits of Bio-inspired Technologies for Networked Embedded Systems: An Overview. In: Dagstuhl Seminar 06031 on Organic Computing - Controlled Emergence, Schloss Dagstuhl, Wadern, Germany (January 2006)Google Scholar
- 10.Sompayrac, L.: How the Immune System Works, 3rd edn. Blackwell Publishing, Malden (2008)Google Scholar