Abstract
In recent years many algorithms and protocols for applications in wireless sensor networks (WSN) have been introduced. These include, e.g, solutions for routing and event notifications. Common among them is the need to adjust the basic operation to particular operating conditions by means of changing algorithmic parameters. In most applications, parameters have to be set carefully before nodes are deployed to a particular environment. But what happens to the system performance, if the operating conditions change to unforeseen situations at runtime?
In this paper, we present the Organic Network Control (ONC) system and its application to WSNs. ONC is a system for adapting network protocols in response to environmental changes at runtime. Being generic in nature, ONC regards existing protocols as black box systems with an interface to changeable protocol parameters. ONC detects environmental changes locally at each node and applies changes to the protocol parameters by means of lightweight machine learning techniques. More complex exploration of possible parameters is transferred to powerful nodes, such as sink nodes. As an example we show how ONC can be applied to an exemplary WSN protocol for event detection and how performance in the ONC controlled system increases over fixed settings of the protocol.
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Tomforde, S., Zgeras, I., Hähner, J., Müller-Schloer, C. (2010). Adaptive Control of Sensor Networks. In: Xie, B., Branke, J., Sadjadi, S.M., Zhang, D., Zhou, X. (eds) Autonomic and Trusted Computing. ATC 2010. Lecture Notes in Computer Science, vol 6407. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16576-4_6
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DOI: https://doi.org/10.1007/978-3-642-16576-4_6
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