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http://hdl.handle.net/10603/461968
Title: | Adaptive Scheduling Technique based Operating System for Wireless Sensor Network |
Researcher: | Dr.Anita Patil |
Guide(s): | Dr.Rajashree V Biradar |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Visvesvaraya Technological University, Belagavi |
Completed Date: | 2022 |
Abstract: | Today we are in the technological era, where every field of life is evolved by the technologies, for example, the technologies from getting food at the door step using mobile apps to the technologies involved in landing on the planet Mars. Here to list a few technologies working for such applications include wireless sensor networks (WSN), Internet of Things, robotics, artificial intelligence, machine learning, cloud computing, cellular network and many more. Among these, nowadays WSN is a playing vital role to support numerous applications, at the same time it s the backbone for IoT like contemporary technologies. Basically the research and development (RandD) of all such technologies itself needs the support of the technologies like the internet that includes various services, namely, web service, search engines, database service, mail service etc. Specifically the wide range of WSN applications includes home automation, office automation, medical diagnosis, industry automation, military surveillance, agriculture sector, seismic detection, wildlife study, intelligent buildings and many more. Even though the requirements of these diversified fields of applications vary, the basic structure of an application remains same. In the sense every application s appliance or embedded device, internally runs by mainly the operating system and the application specific software. newlineAt present, there are many operating systems for WSN, namely TinyOS, Contiki, NanoRk, SOS, MANTIS, FreeRTOS, etc. From the comparative analysis of these operating systems, it is found that TinyOS is the widely used, highly documented, popular and most suitable OS for low power devices. The lifespan of the complete sensor network is dependent on the numerous sensor nodes lifespan, which in turn depends on the battery supply of those individual sensor nodes. Thus, power efficiency is the major concern in the selection of OS in WSN applications. In this regard, TinyOS is the best, but having only one scheduler which is First Come First Serve (FCFS) sch |
Pagination: | |
URI: | http://hdl.handle.net/10603/461968 |
Appears in Departments: | Ballari Institute of Technology and Management |
Files in This Item:
File | Description | Size | Format | |
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1-coverpage for thesis.pdf | Attached File | 118.04 kB | Adobe PDF | View/Open |
1st chap.pdf | 693.6 kB | Adobe PDF | View/Open | |
2-merged.pdf | 1.01 MB | Adobe PDF | View/Open | |
3-content.pdf | 341.74 kB | Adobe PDF | View/Open | |
3rd chap.pdf | 1.27 MB | Adobe PDF | View/Open | |
4th chap.pdf | 1.02 MB | Adobe PDF | View/Open | |
6th chap.pdf | 344.99 kB | Adobe PDF | View/Open | |
7th chap.pdf | 242.52 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 239.72 kB | Adobe PDF | View/Open | |
abstract (1).pdf | 248.62 kB | Adobe PDF | View/Open | |
list of publications.pdf | 355.96 kB | Adobe PDF | View/Open | |
references.pdf | 381.82 kB | Adobe PDF | View/Open |
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