@inproceedings{1e2480adea9c461090926c43154c1cd0,
title = "Efficient Energy Management by Using SJF Scheduling in Wireless Sensor Network",
abstract = "A wireless sensor network is a collection of small, low-power devices called sensors that are deployed in an area to monitor and gather data from the surrounding environment. Sensors can be deployed in two type either in a static way or in mobile way. This work have presented a optimized routing strategy by using shortest job first techniques. In this model the computation time has been used to schedule the sleep and wake up phase of sensor nodes. The simulation result shows the better energy management with this technique. The result shows that the energy management through shortest job first technique outperforms by 46.52\% then first come, first served, and Round Robin techniques.",
keywords = "Energy management, Scheduling, SJF, WSN",
author = "Hitesh Mohapatra and Manjur Kolhar and Dalai, \{Asish Kumar\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 5th International Conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024 ; Conference date: 05-01-2024 Through 06-01-2024",
year = "2024",
doi = "10.1007/978-981-97-1841-2\_15",
language = "English",
isbn = "9789819718405",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "211--221",
editor = "Umakanta Nanda and Tripathy, \{Asis Kumar\} and Sahoo, \{Jyoti Prakash\} and Mahasweta Sarkar and Kuan-Ching Li",
booktitle = "Advances in Distributed Computing and Machine Learning - Proceedings of ICADCML 2024",
address = "Germany",
}