Abstract
The outcome of applying relations and set theories instead of functions when staging the proposed routing algorithm is an appearance of choice in Wireless Sensor Network nodes. This research presents a model that is universal, practical, and mathematically sound. In its essence, the model promotes the emergence of a smart and cooperative neighbourhood. Central, to a rise of emergent properties in WSN, is the deployment of nodes within neighbourhood that are equipped with some form of collective intelligence. While defining the concept of spatial routing, we unfold the rules of smart neighbourhood for relaying data in a dynamic and evolving environment. The most interesting aspect of the proposed concept of neighbourhood smartness is its support for a certain form of stigmergy that allows neighbourhoods behavioural flexibility in WSN. The network routing paths adapt to the level of interference and thus avoiding areas of increased disturbance. By using Link Quality Indicator parameters, it is possible to choose the best consecutive relay. This allows adjusting our choices to the disturbance levels and thus circumventing the area of interference. In the end; this ensures a successful transmission even in the most adverse environmental conditions.
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Nikodem, J., Chaczko, Z., Nikodem, M., Klempous, R. (2013). Smart and Cooperative Neighbourhood for Spatial Routing in Wireless Sensor Networks. In: Madarász, L., Živčák, J. (eds) Aspects of Computational Intelligence: Theory and Applications. Topics in Intelligent Engineering and Informatics, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30668-6_11
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