Amy Lynn Murphy

Computer Networks and Communications · 2001–2009

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Amy Lynn Murphy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ting Liu

Who trusts Amy Lynn Murphy overall

  1. Danny Weyns
  2. Andrea Omicini
  3. H. Van Dyke Parunak
  4. C. Garcia-hernandez

Papers from Amy Lynn Murphy's perspective

Ordered by how strongly the researchers Amy Lynn Murphy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Directed diffusion: a scalable and robust communication paradigm for sensor networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  2. Energy-efficient communication protocol for wireless microsensor networks (Proceedings of the Annual Hawaii International Conference on System Sciences)
  3. Wireless sensor networks for habitat monitoring (ACM International Conference on Wireless Sensor Networks and Applications)
  4. An energy-efficient MAC protocol for wireless sensor networks (Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies)
  5. Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  6. Adaptive protocols for information dissemination in wireless sensor networks
  7. Querying the physical world (IEEE wireless communications)
  8. Topology control of multihop wireless networks using transmit power adjustment (Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064))
  9. ASCENT: adaptive self-configuring sensor networks topologies (IEEE Transactions on Mobile Computing)
  10. Timing-sync protocol for sensor networks (ACM International Conference on Embedded Networked Sensor Systems)

Their papers