Emstar

Author:

Girod Lewis1,Ramanathan Nithya2,Elson Jeremy3,Stathopoulos Thanos2,Lukac Martin2,Estrin Deborah2

Affiliation:

1. MIT CSAIL, Cambridge, MA

2. University of California, Los Angeles, CA

3. Microsoft Research, Redmond, WA

Abstract

Recent work in wireless embedded networked systems has followed heterogeneous designs, incorporating a mixture of elements from extremely constrained 8- or 16-bit “Motes” to less resource-constrained 32-bit embedded “Microservers.” Emstar is a software environment for developing and deploying complex applications on such heterogeneous networks. Emstar is designed to leverage the additional resources of Microservers by trading off some performance for system robustness in sensor network applications. It enables fault isolation, fault tolerance, system visiblity, in-field debugging, and resource sharing across multiple applications. In order to accomplish these objectives, Emstar is designed to run as a multiprocess system and consists of libraries that implement message-passing IPC primitives, services that support networking, sensing, and time synchronization, and tools that support simulation, emulation, and visualization of live systems, both real and simulated. We evaluate this work by discussing the Acoustic ENSBox, a platform for distributed acoustic sensing that we built using Emstar. We show that by leveraging existing Emstar services, we are able to significantly reduce development time while achieving a high degree of robustness. We also show that a sample application was developed much more quickly on this platform than it would have been otherwise.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 41 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. Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey;IEEE Access;2024

2. Scalable and Interactive Simulation for IoT Applications With TinySim;IEEE Internet of Things Journal;2023-12-01

3. Simulators and Emulators for WSNs;Concepts, Applications, Experimentation and Analysis of Wireless Sensor Networks;2023

4. Optimization algorithms in wireless monitoring networks: A survey;Neurocomputing;2022-06

5. Simulators and Emulators for WSNs;Concepts, Applications, Experimentation and Analysis of Wireless Sensor Networks;2020-11-25

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