An Efficient Optimization Technique for Scheduling in Wireless Sensor Networks: A Survey-Reference-Cited by-同舟云学术

An Efficient Optimization Technique for Scheduling in Wireless Sensor Networks: A Survey

Published:2018-09-15 Issue: Volume: Page:223-232
ISSN:1860-949X
Container-title:Integrated Intelligent Computing, Communication and Security
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Author:

Mahendran N.,Mekala T.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8797-4_24

Reference10 articles.

1. Deepika, T., and N. Mahendran. 2015. Comparitive analysis of optimization algorithms in wireless sensor networks. International Journal of Applied Engineering Research 38. ISSN 0973-4562.

2. Peng Li, Huqing Nie, Lingfeng Qiu and Ruchuan Wang. 2017. Energy optimization of ant colony algorithm in wireless sensor network. International Journal of Distributed Sensor Networks 13 (4). https://doi.org/10.1177/1550147717704831 .

3. Muralitharan Krishnan, Vishnuvarthan Rajagopal, Sakthivel Rathinasamy. 2018. Performance evaluation of sensor deployment using optimization techniques and scheduling approach for K-coverage in WSNs. https://doi.org/10.1007/s11276-016-1361-5 .

4. Gomathi, R., and N. Mahendran. 2015. An efficient data packet scheduling schemes in wireless sensor networks. In Proceeding 2015 IEEE international conference on electronics and communication systems (ICECS’15), 542–547. ISBN: 978-1-4799-7225-8. https://doi.org/10.1109/ecs.2015.7124966 .

5. Vanithamani, S., and N. Mahendran. 2014. Performance analysis of queue based scheduling schemes in wireless sensor networks. In Proceeding 2014 IEEE international conference on electronics and communication systems (ICECS’14), 1–6. ISBN: 978-1-4799-2320-5. https://doi.org/10.1109/ecs.2014.6892593 .

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