Mitigating Packet Dropping Problem and Malicious Node Detection Mechanism in Ad Hoc Wireless Networks-Reference-Cited by-同舟云学术

Mitigating Packet Dropping Problem and Malicious Node Detection Mechanism in Ad Hoc Wireless Networks

Published:2015-10-25 Issue: Volume: Page:317-328
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Sonekar Shrikant V.,Kshirsagar Manali M.

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2695-6_27

Reference17 articles.

1. Perkins, C.E.: Ad hoc Networking, pp. 198–264. Addison-Wesley, New York (2001)

2. Gupta, S.S., Ray, S.S., Mistry, O., Naskar, M.K.: A stochastic approach for topology management of mobile ad hoc networks. In: Asian International Mobile Computing Conference, pp. 90–99. Jadavpur University, Kolkata (2007)

3. Perkins, C.E., Royer, E.M., Das S.R.: Ad hoc on-demand distance vector routing. In: Proceedings of the 2nd IEEE Workshop on Mobile Computing and Applications, vol. 3, pp. 99–100. New Orleans, LA, USA (1999)

4. Johnson, D., Maltz, D.: In: Imielinski, T., Korth, H. (eds.) Dynamic Source Routing in Ad Hoc Wireless Networks, Mobile Computing. Kluwer (1996)

5. IEEE Std. 802.11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications (1997)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing PDP model by using malware detection techniques for securing cloud storage data using cryptanalysis;AIP Conference Proceedings;2022

2. LSTM based flood prediction system;AIP Conference Proceedings;2022

3. Load Balancing Approach and Diminishing Impact of Malicious Node in Ad Hoc Networks;Advanced Computing and Intelligent Technologies;2021-07-22

4. Enhanced route optimization technique and design of threshold-T for malicious node detection in ad hoc networks;International Journal of Information Technology;2021-03-14

5. Design and Development of an Intelligent Robot for Improving Crop Productivity Using Machine Learning;Machine Learning for Robotics Applications;2021