SASHA: toward a self-healing hybrid sensor network architecture
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Immune system based distributed node and rate selection in wireless sensor networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
An immune-inspired approach to speckled computing
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Articulation and clarification of the dendritic cell algorithm
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
A distributed, leaderless algorithm for logical location discovery in specknets
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Dendritic Cell Trafficking: From Immunology to Engineering
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
An engineering-informed modelling approach to AIS
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
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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.