Message ferrying: proactive routing in highly-partitioned wireless ad hoc networks

By Wenrui Zhao, Mostafa H. Ammar. The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, 2003. FTDCS 2003. Proceedings., 2003

417 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4af778804a752ed8b17c6867e2edfe4cf0c4a373

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A survey of practical issues in underwater networks (2006, background): “Zhao, et al [61, 62, 63] have several works that investigate DTN routing based on ferries that operate on planned mobility paths; the paths are designed to optimize network performance and known to all other nodes.”
MORA routing and capacity building in disruption-tolerant networks (2008, methodology): “We call our approach Multi-Objective Robotic Assistance (MORA), which allows a set of autonomous agents in the DTN to enhance network performance by delivering packets.”
MDDV: a mobility-centric data dissemination algorithm for vehicular networks (2004, background): “Message Ferry [38] [39] provides a common communication channel via a node of a known fixed moving trajectory for disconnected mobile nodes.”
Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks (2005, methodology): “Existing mobility in the environment can be used [4], [5], [6], [7], [8] or mobile elements can be added to the system [9], [10], [11], [12], which have the luxury to be recharged.”
Mobile Element Scheduling with Dynamic Deadlines (2007, methodology): “Existing mobility in the environment can be used [5], [6], [7], [8] or mobile elements can be added to the system [9], [10], [11], which have the luxury of being recharged periodically.”
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks (2006, background): “The assumptions we make are based on our existing DTN network (see Section IV) composed of buses and desktop computing hardware.”
Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, background): “…addresses: M. Di Francesco and S. K. Das, Department of Computer Science and Engineering, University of Texas at Arlington, Box 19015, 500 UTA Blvd., Arlington, TX 76019; email: {mariod, das}@uta.edu; G. Anastasi, Department of Information Engineering, University of Pisa, Via Diotisalvi 2,…”
Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines (2004, methodology): “The message ferrying approach [14] [15] deals with using a message ferry to route data from one node to another in a sparse network.”