Medium Access Control Facing the Dynamics of Wireless Sensor Networks

Abstract : A WSN consists in spatially distributed autonomous and embedded devices that cooperatively monitor physical or environmental conditions in a less intrusive fashion. The data collected by each sensor node (such as temperature, vibrations, sounds, movements etc.) are reported to a sink station in a hop-by-hop fashion using wireless transmissions. In the last decade, the challenges raised by WSN have naturally attracted the interest of the research community. Especially, significant improvements to the communication stack of the sensor node have been proposed in order to tackle the energy, computation and memory constraints induced by the use of embedded devices. A number of successful deployments already denotes the growing interest in this technology. Recent advances in embedded systems and communication protocols have stimulated the elaboration of more complex use cases. They target dense and dynamic networks with the use of mobile sensors or multiple data collection schemes. For example, mobility in WSN can be employed to extend the network coverage and connectivity, as well as improve the routing performances. However, these new scenarios raise novel challenges when designing communication protocols. The work presented in this thesis focuses on the issues raised at the MAC layer when confronted to dynamic WSN. We have first studied the impact of mobility and defined two new MAC protocols (Machiavel and X-Machiavel) which improve the medium access of mobile sensor nodes in dense networks. Our second contribution is an auto-adaptive algorithm for preamble sampling protocols. It aims at minimizing the global energy consumption in networks with antagonist traffic patterns by obtaining an optimal configuration on each node. This mechanism is especially energy-efficient during burst transmissions that could occur in such dynamic networks.
Keywords : mobility
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Submitted on : Monday, September 27, 2010 - 1:47:03 PM
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Romain Kuntz. Medium Access Control Facing the Dynamics of Wireless Sensor Networks. Networking and Internet Architecture [cs.NI]. Université de Strasbourg, 2010. English. ⟨tel-00521389⟩

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