Efficient Information Propagation Algorithms in Smart Dust and NanoPeer Networks

  • Sotiris Nikoletseas
  • Paul Spirakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3267)


Wireless sensor networks are comprised of a vast number of ultra-small, fully autonomous computing, communication and sensing devices, with very restricted energy and computing capabilities, that co-operate to accomplish a large sensing task. The efficient and robust realization of such large, highly-dynamic and complex networking environments is a challenging algorithmic and technological task.

In this work we present and discuss two protocols for efficient and robust data propagation in wireless sensor networks: LTP (a “local target” optimization protocol) and PFR (a multi-path probabilistic forwarding protocol). Furthermore, we present the NanoPeers architecture paradigm, a peer-to-peer network of lightweight devices, lacking all or most of the capabilities of their computer-world counterparts. We identify the problems arising when applying current routing and searching methods to this nano-world, and present some initial solutions, using a case study of a sensor network instance; Smart Dust.


Sensor Network Sensor Node Wireless Sensor Network Search Phase Sensor Particle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sotiris Nikoletseas
    • 1
  • Paul Spirakis
    • 1
  1. 1.Department of Computer Engineering and InformaticsUniversity of Patras and Computer Technology Institute (CTI)Greece

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