Affiliation:
1. University of Trento and Swedish Institute of Computer Science
2. University of Trento
Abstract
Wireless sensor networks (WSNs) are attracting great interest in a number of application domains concerned with monitoring and control of physical phenomena, as they enable dense and untethered deployments at low cost and with unprecedented flexibility.
However, application development is still one of the main hurdles to a wide adoption of WSN technology. In current real-world WSN deployments, programming is typically carried out very close to the operating system, therefore requiring the programmer to focus on low-level system issues. This not only distracts the programmer from the application logic, but also requires a technical background rarely found among application domain experts. The need for appropriate high-level programming abstractions, capable of simplifying the programming chore without sacrificing efficiency, has long been recognized, and several solutions have hitherto been proposed, which differ along many dimensions.
In this article, we survey the state of the art in programming approaches for WSNs. We begin by presenting a taxonomy of WSN applications, to identify the fundamental requirements programming platforms must deal with. Then, we introduce a taxonomy of WSN programming approaches that captures the fundamental differences among existing solutions, and constitutes the core contribution of this article. Our presentation style relies on concrete examples and code snippets taken from programming platforms representative of the taxonomy dimensions being discussed. We use the taxonomy to provide an exhaustive classification of existing approaches. Moreover, we also map existing approaches back to the application requirements, therefore providing not only a complete view of the state of the art, but also useful insights for selecting the programming abstraction most appropriate to the application at hand.
Funder
Seventh Framework Programme
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Reference143 articles.
1. MANTIS
2. Aduino Sensor Node Platform. www.arduino.cc. Aduino Sensor Node Platform. www.arduino.cc.
3. A survey on sensor networks
4. Wireless sensor and actor networks: research challenges
Cited by
200 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The eXchange Calculus (XC): A functional programming language design for distributed collective systems;Journal of Systems and Software;2024-04
2. Self-Organisation Programming: A Functional Reactive Macro Approach;2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS);2023-09-25
3. Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling;ACM Computing Surveys;2023-07-13
4. On the use of RFID Middleware for real-time data stream processing;Proceedings of the 6th International Conference on Networking, Intelligent Systems & Security;2023-05-24
5. Wireless Sensor Networks Face Challenges and Issues Related to Security;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12