2007/07/25 by Yann Busnel, Marin Bertier, Busnel, Yann +6
Computer Science · Engineering · #Caching and Content Delivery #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Networking and Internet Architecture (cs.NI) #Peer-to-Peer Network Technologies #cs.NI
paper · pdf · doi:10.48550/arxiv.0707.3717
openalex publication_date 2007/07/25 · arxiv created 2007/07/30 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Wireless sensor networks (WSN) have recently received an increasing interest. They are now expected to be deployed for long periods of time, thus requiring software updates. Updating the software code automatically on a huge number of sensors is a tremendous task, as ''by hand'' updates can obviously not be considered, especially when all participating sensors are embedded on mobile entities. In this paper, we investigate an approach to automatically update software in mobile sensor-based application when no localization mechanism is available. We leverage the peer-to-peer cooperation paradigm to achieve a good trade-off between reliability and scalability of code propagation. More specifically, we present the design and evaluation of GCP (\emph Gossip-based Code Propagation), a distributed software update algorithm for mobile wireless sensor networks. GCP relies on two different mechanisms (piggy-backing and forwarding control) to improve significantly the load balance without sacrificing on the propagation speed. We compare GCP against traditional dissemination approaches. Simulation results based on both synthetic and realistic workloads show that GCP achieves a good convergence speed while balancing the load evenly between sensors.