Deep Learning-Infused Hybrid Security Model for Energy Optimization and Enhanced Security in Wireless Sensor Networks

Author:

Ramu K.,Raju S. V. S. Rama Krishnam,Singh Satyanand,Rachapudi Venubabu,Mary M. Anitha,Roy Vandana,Joshi Shubham

Publisher

Springer Science and Business Media LLC

Reference26 articles.

1. Jin Wang YU, Gao XY, Feng Li & Hye-Jin Kim 2018, “An enhanced PEGASIS algorithm with mobile sink support for wireless sensor networks”, Wirel. Commun. mobile Comput., pp. 1–9.

2. Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage & Anil Anthony Bharath 2017 “A brief survey of deep reinforcement learning”. arXiv:1708.05866

3. Khan F, Memon S & Jokhio SH 2016, “Support vector machine-based energy-aware routing in wireless sensor networks”, in: 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI), 01–02 Nov 2016, Rawalpindi, Pakistan, pp. 1–4.

4. Khan JA, Qureshi HK, Iqbal A. Energy management in wireless sensor networks: A survey. Comput Electr Eng. 2016;41:159–76.

5. Krishnan & Nagamuthu SS β019, “Denial of Service (DoS) Detection in Wireless Sensor Networks Applying Geometrically Varying Clusters”, International Conference on Computer Networks and Communication Technologies, Springer, Singapore, pp.1023–1030.

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