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Open Access Publications from the University of California

Scholarly Works (3 results)

  • Article
  • Peer Reviewed
Technical Reports (2005)
Programming Wireless Networks of Embedded Systems (WNES) is notoriously difficult and tedious. To simplify WNES programming, we propose Declarative Resource Naming (DRN) to program WNES as a whole (i.e., macroprogramming) instead of several networked entities. DRN allows for a set of resources to be declaratively described by their run-time properties,and for this set to be mapped to a variable. Using DRN, resource access is simplified to only variable access that is completely network-transparent. DRN provides both sequential and parallel accesses to the desired set. Parallel, or group, access reduces the total access time and energy consumption because it enables in-network processing. Additionally, we can associate each set with tuning parameters (e.g., timeout, energy budget) to bound access time or to tune resource consumption.

Pre-2018 CSE ID: CS2005-0827

    Cover page: Declarative Resource Naming for Macroprogramming Wireless Networks of Embedded Systems
    • Article
    • Peer Reviewed
    Technical Reports (2004)
    Programming Wireless Networks of Embedded Systems (WNES) is notoriously difficult and tedious. To simplify WNES programming, we propose Declarative Resource Naming (DRN) to program WNES as a whole (i.e., macroprogramming) instead of several networked entities. DRN allows programmers to declaratively describe a set of desired resources by their run-time properties and to map this set to a variable. Using DRN, resource accesses are simplified to completely network-transparent accesses of variables. DRN provides both individual and group accesses to the desired set. Group accesses (i.e., parallel accesses) reduce total access time and energy consumption because of possible in-network processing. Additionally, we can associate each set with tuning parameters (e.g., timeout, energy budget) to bound access time or to tune resource consumption.

    Pre-2018 CSE ID: CS2004-0800

      Cover page: Declarative Resource Naming for Macroprogramming Wireless Networks of Embedded Systems
      • Article
      • Peer Reviewed
      Papers (2003)

      Advances in processor, memory, and radio technology will enable small and cheap nodes capable of sensing, communication, and computation. Networks of such nodes can coordinate to perform distributed sensing of environmental phenomena. In this paper, we explore the directed-diffusion paradigm for such coordination. Directed diffusion is data-centric in that all communication is for named data. All nodes in a directed-diffusion-based network are application aware. This enables diffusion to achieve energy savings by selecting empirically good paths and by caching and processing data in-network (e.g., data aggregation). We explore and evaluate the use of directed diffusion for a simple remote-surveillance sensor network analytically and experimentally. Our evaluation indicates that directed diffusion can achieve significant energy savings and can outperform idealized traditional schemes (e.g., omniscient multicast) under the investigated scenarios.

        Cover page: Directed Diffusion for Wireless Sensor Networking
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