System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
RETOS: resilient, expandable, and threaded operating system for wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
An Experimental Comparison of Event Driven and Multi-Threaded Sensor Node Operating Systems
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Experimental performance evaluation of POBICOS middleware for wireless sensor networks
ISRN Communications and Networking
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Although event-driven systems were assumed to generally perform better for embedded systems as opposed to thread-driven systems, tests have shown that event-driven systems tend to save more energy and space, while thread-driven systems provide more concurrency and predictability, hence creating a tradeoff. Performance analyzers are often used to accurately measure the performance of a certain system when such a tradeoff is evident. Performance analyzers can also locate deficiencies and bottlenecks in a certain system for future improvements. The ever increasing complexity of applications executed by Wireless Sensor Networks (WSNs) and the evolving nature of the underlying Embedded Operating Systems (EOSs) has led to the need for an accurate evaluation technique to guide practitioners in the field. This paper presents a novel approach towards providing a benchmarking and performance evaluation tool for comparing and analyzing the performance of WSN EOSs.