Abstract
The wireless sensor networks are sensing, computing and communication infrastructures that allow us to monitor, instrument, observe, and respond to phenomena in the harsh environment. Sensor operating systems that run on tiny sensor nodes are the key to the performance of the distributed computing environment for the wireless sensor networks. Therefore, sensor operating systems should be able to operate efficiently in terms of energy consumption and resource management. In this paper, we present XMAS to improve the time and space efficiency of memory management for the sensor operating systems. XMAS was implemented on Nano-Qplus which is a multi-threading sensor operating system. Our experimental results show that the XMAS performs efficiently in both time and space compared with existing memory allocation mechanisms.
This research was supported by the Ubiquitous Autonomic Computing and Network Project, 21st Century Frontier R&D Program in Korea, Brain Korea 21 Project in 2006, ICT at Seoul National University, and MIC & IITA through IT Leading R&D Support Project.
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Yi, S. et al. (2006). XMAS: An eXtraordinary Memory Allocation Scheme for Resource-Constrained Sensor Operating Systems. In: Cao, J., Stojmenovic, I., Jia, X., Das, S.K. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2006. Lecture Notes in Computer Science, vol 4325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11943952_64
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DOI: https://doi.org/10.1007/11943952_64
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