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Improvement of Spatial Routing in WSN Based on LQI or RSSI Indicator

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Advanced Methods and Applications in Computational Intelligence

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 6))

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Abstract

The chapter presents theoretical work and simulation results of spatial routing in wireless sensor network (WSN). We propose a new framework of the routing in WSN that is based on the set theory and on three elementary relations: subordination (π), tolerance (ϑ) and collision \((\varkappa)\) necessary to describe behaviour of nodes in distributed system. The essence of using relations is decentralization of decision making process. Relations introduce the ability to delegate decission making process to nodes, which base their actions on situation in the vicinity, information that is avaliabe to them and capabilities they have. Since relations, support local elements to make decisions, they are a better instrument compared to functions which does not facilitate such choices. Spatial routing algorithm, during network organization, builds a framework - space for globally oriented communication towards base station. Within this framework, during the network lifetime, each node, decides if the routing path should be changed in case of local interferences, neighbor nodes failure or changes in environmental conditions. Therefore, the proposed approach combines existing features of the spatial routing and LQI or RSSI indicators to aide in route selection within a neighborhood.

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Nikodem, J., Klempous, R., Nikodem, M., Chaczko, Z. (2014). Improvement of Spatial Routing in WSN Based on LQI or RSSI Indicator. In: Klempous, R., Nikodem, J., Jacak, W., Chaczko, Z. (eds) Advanced Methods and Applications in Computational Intelligence. Topics in Intelligent Engineering and Informatics, vol 6. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01436-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-01436-4_12

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01435-7

  • Online ISBN: 978-3-319-01436-4

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