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Deterministic Recurrent Communication and Synchronization in Restricted Sensor Networks

  • Conference paper
Algorithms for Sensor Systems (ALGOSENSORS 2010)

Abstract

Monitoring physical phenomena in Sensor Networks requires guaranteeing permanent communication between nodes. Moreover, in an effective implementation of such infrastructure, the delay between any two consecutive communications should be minimized. The problem is challenging because, in a restricted Sensor Network, the communication is carried out through a single and shared radio channel without collision detection. Dealing with collisions is crucial to ensure effective communication between nodes. Additionally, minimizing them yields energy consumption minimization, given that sensing and computational costs in terms of energy are negligible with respect to radio communication. In this work, we present a deterministic recurrent-communication protocol for Sensor Networks. After an initial negotiation phase of the access pattern to the channel, each node running this protocol reaches a steady state, which is asymptotically optimal in terms of energy and time efficiency. As a by-product, a protocol for the synchronization of a Sensor Network is also proposed. Furthermore, the protocols are resilient to an arbitrary node power-up schedule and a general node failure model.

This research was partially supported by Spanish MICINN grant no. TIN2008-06735-C02-01, Comunidad de Madrid grant no. S2009TIC-1692, EU Marie Curie International Reintegration Grant IRG 210021, NSF grant no. 0937829, and French ANR project Shaman.

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Fernández Anta, A., Mosteiro, M.A., Thraves, C. (2010). Deterministic Recurrent Communication and Synchronization in Restricted Sensor Networks. In: Scheideler, C. (eds) Algorithms for Sensor Systems. ALGOSENSORS 2010. Lecture Notes in Computer Science, vol 6451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16988-5_6

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  • DOI: https://doi.org/10.1007/978-3-642-16988-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16987-8

  • Online ISBN: 978-3-642-16988-5

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