BibTeX for papers by David Kotz; for complete/updated list see
https://www.cs.dartmouth.edu/~kotz/research/papers.html

@Article{nanda:jmeshmon,
  author =        {Soumendra Nanda and David Kotz},
  title =         {{Mesh-Mon: A Multi-Radio Mesh Monitoring and Management System}},
  journal =       {Computer Communications},
  year =          2008,
  month =         {May},
  volume =        31,
  number =        8,
  pages =         {1588--1601},
  publisher =     {Elsevier},
  copyright =     {Elsevier},
  DOI =           {10.1016/j.comcom.2008.01.046},
  URL =           {https://www.cs.dartmouth.edu/~kotz/research/nanda-jmeshmon/index.html},
  abstract =      {Mesh networks are a potential solution for providing communication infrastructure in an emergency. They can be rapidly deployed by first responders in the wake of a major disaster to augment an existing wireless or wired network. We imagine a mesh node with multiple radios embedded in each emergency vehicle arriving at the site to form the backbone of a mobile wireless mesh. The ability of such a mesh network to monitor itself, diagnose faults and anticipate problems are essential features for its sustainable operation. Typical SNMP-based centralized solutions introduce a single point of failure and are unsuitable for managing such a network. \emph{Mesh-Mon} is a decentralized monitoring and management system designed for such a mobile, rapidly-deployed, unplanned mesh network and works independently of the underlying mesh routing protocol. Mesh-Mon nodes are designed to actively cooperate and use localized algorithms to predict, detect, diagnose and resolve network problems in a scalable manner. Mesh-Mon is independent of the underlying routing protocol and can operate even if the mesh routing protocol completely fails. A novel aspect of our approach is that we employ mobile users of the mesh, running software called \emph{Mesh-Mon-Ami} to ferry management packets between physically-disconnected partitions in a delay-tolerant network manner. The main contributions of this paper are the design, implementation and evaluation of a comprehensive monitoring and management architecture that helps a network administrator proactively identify, diagnose and resolve a range of issues that can occur in a dynamic mesh network. In experiments on \emph{Dart-Mesh}, our 16-node indoor mesh testbed, we found Mesh-Mon to be effective in quickly diagnosing and resolving a variety of problems with high accuracy, without adding significant management overhead.},
}