Proceedings of the 7th annual international conference on Mobile computing and networking
Maté: a tiny virtual machine for sensor networks
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
MetaCricket: a designer's kit for making computational devices
IBM Systems Journal
A dynamic operating system for sensor nodes
Proceedings of the 3rd international conference on Mobile systems, applications, and services
MANTIS OS: an embedded multithreaded operating system for wireless micro sensor platforms
Mobile Networks and Applications
The emergence of networking abstractions and techniques in TinyOS
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Meteorology and hydrology in Yosemite national park: a sensor network application
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
IEEE Communications Magazine
Shared-stack cooperative threads
Proceedings of the 2007 ACM symposium on Applied computing
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In wireless sensor networks, power is a critical resource in battery powered sensor nodes. In this respect, as it is important to efficiently utilize the limited battery power, it would be desirable to make such nodes as energy efficient as possible. Many researchers who develop operating systems of wireless sensor networks have been trying to find a way to enhance energy efficiency of sensor nodes. In this paper, we present an overview of sensor node operating systems and some of its functionalities, and then present a performance analysis of task schedulers and task-related kernel routines of existing sensor node operating systems. The results of performance analysis show some advantages and disadvantages of the existing operating systems, and based on these information, we present some possible improvements for increasing the efficiency of sensor node operating systems.