EmStar: A Software Environment for Developing and Deploying Wireless Sensor Networks

By Lewis Girod, Jeremy Elson, Alberto E. Cerpa, Thanos Stathopoulos, Nithya Ramanathan, Deborah Estrin. USENIX ATC, General Track, 2004

374 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6caa8eb03de8889822f665e060e850e5c1f91dac

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Citations in the corpus

Experimental study of concurrent transmission in wireless sensor networks (2006, methodology): “We use the Linux-based Emstar software framework to take advantage of its interactive interface with sensor nodes in the testbed [11].”
Structural Health Monitoring Using Smart Sensors (2007, methodology): “, 2005) and EmStar (Girod et al., 2004).”
MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms (2005, methodology): “emStar combines pure simulation, hybrid mode and real distributed deployments [ 7 ].”
MoteLab: a wireless sensor network testbed (2005, methodology): “Most similar to MoteLab in goals and realization is EmStar [3], a Linux-based approach to sensor network development and debugging.”
A survey on real-world implementations of mobile ad-hoc networks (2007, methodology): “…simulator that supports the API: SURAN [7], Rooftop CPT (used by WINGS [24] and GloMo DAWN [70]), ”user level framework for ad hoc routing” [3], the routing protocol evaluation presented in [29], [49], TOS-SIM [47], EmStar/EmSim [25], EmTOS [26] 3) Port the code manually: [75], [49], [66], [71].”
TWIST: a scalable and reconfigurable testbed for wireless indoor experiments with sensor networks (2006, methodology): “It uses the EmStar development system for Linux-based WSNs [5] and, similarly to TWIST, allows evaluation of both flat and hierarchical WSNs with different communication technologies.”
Avrora: scalable sensor network simulation with precise timing (2005, background): “Simulation of sensor networks has been studied intensively this decade [1], [2], [3], [4], [5], [6], [7].”
Statistical model of lossy links in wireless sensor networks (2005, methodology): “The network generators have been implemented in the EmStar simulator [13].”
Contiki - a lightweight and flexible operating system for tiny networked sensors (2004, methodology): “Contiki programs use native code and can therefore be used for all types of programs, including low level device drivers without loss of execution efficiency.”
Temporal properties of low power wireless links: modeling and implications on multi-hop routing (2005, methodology): “We conducted simulations using EmStar [19] to measure the performance of our distributed algorithm in the presence of node dynamics.”
Handbook of Sensor Networks: Algorithms and Architectures (2005, background): “At a rudimentary level, where a simple causality relationship [24,25] between detected events is desired, even traditional approaches employed in other types of distributed systems, such as vector clocks [26,27], are generally not practical for wireless sensor networks.”
Sympathy for the sensor network debugger (2005, methodology): “A similar module on the sink collects its connectivity information as well, using Emstar [5] IPC mechanisms.”
The platforms enabling wireless sensor networks (2004, background): “Recent research suggests a common approach to solving this challenge across the range of platforms [ 2 , 5] by way of three additional architectural components:”
An analysis of unreliability and asymmetry in low-power wireless links (2007, background): “Some popular wireless network simulators [17], [18] and recent studies [3] had been using a Gaussian random variable to represent the packet reception rate.”