Content area

Abstract

Wireless Networks of Embedded Systems (WNES) are notoriously difficult and tedious to program. The difficulty is mostly originated from low-level details in system and network programming. This includes distributedly managing and accessing resources from a dynamic set of nodes in hostile and volatile networks. To simplify WNES programming, we propose Declarative Resource Naming (DRN) that abstracts out the mentioned low-level details by programming a WNES in the large (i.e., macroprogramming). DRN provides programming simplicity, expressiveness, tunability, on-the-fly reprogrammability, and in-network data aggregation for energy savings. None of existing macroprogramming paradigms supports all of the mentioned features. Furthermore, DRN is an integration of declarative and imperative programming. The low-level details are declaratively abstracted out, but the main algorithm remains procedural. This allows programming simplicity without an adverse impact on the expressiveness. We have implemented and evaluated DRN on two platforms: Smart Message and Maté. Our result indicates that DRN enables programmers to develop energy-efficient applications with the desired flexibility and quality.

Details

1009240
Business indexing term
Title
Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming
Publication year
2012
Publication date
2012
Publisher
John Wiley & Sons, Inc.
Place of publication
Abingdon
Country of publication
United States
Publication subject
ISSN
15501329
e-ISSN
15501477
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
1069243876
Document URL
https://www.proquest.com/scholarly-journals/hybrid-macroprogramming-wireless-networks/docview/1069243876/se-2?accountid=208611
Copyright
Copyright © 2012 Chalermek Intanagonwiwat. Chalermek Intanagonwiwat et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Last updated
2023-11-25
Database
ProQuest One Academic