Koichi Gyoda
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Koichi Gyoda has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Subodh Mishra
Computer Science and Engineering, PDPM-Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India
3 shared publications - Vinod Kumar Jain
Department of Computer Science and Engineering, Atal Bihari Vajpayee - Indian Institute of Information Technology and Management Gwalior, Gwalior, India
3 shared publications Samkit Jain
2 shared publications- Omuwa Oyakhire
Graduate School of Engineering and Science, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan
1 shared publication - Samkit Jain
Computer Science and Engineering, PDPM-Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India
1 shared publication
Latest Publications
- 24 December 2024
- Published by Springer Nature in Wireless Networks
- Vol. 31 (3) , 2327-2349
A novel content eviction strategy to retain vital contents in NDN-IoT networks
- 24 December 2024
- Published by Springer Nature in Wireless Networks
- Vol. 31 (3) , 2327-2349
A novel content eviction strategy to retain vital contents in NDN-IoT networks
- 28 June 2024
- Published by Elsevier in Internet of Things
- Vol. 27
Distance-based dynamic caching and replacement strategy in NDN-IoT networks
- 28 June 2024
- Published by Elsevier in Internet of Things
- Vol. 27
Distance-based dynamic caching and replacement strategy in NDN-IoT networks
- 27 December 2023
- Published by Elsevier in Ad Hoc Networks
- Vol. 155
An efficient content replacement policy to retain essential content in information-centric networking based internet of things network
- 27 December 2023
- Published by Elsevier in Ad Hoc Networks
- Vol. 155
An efficient content replacement policy to retain essential content in information-centric networking based internet of things network
- Open Access
- 9 March 2020
- Published by MDPI AG in Future Internet
- Vol. 12 (3) , 47
Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks
In mobile ad hoc networks, network nodes cooperate by packet forwarding from the source to the destination. As the networks become denser, more control packets are forwarded, thus consuming more bandwidth and may cause packet loss. Recently, game theory has been applied to address several problems in mobile ad hoc networks like energy efficiency. In this paper, we apply game theory to reduce the control packets in dense networks. We choose a proactive routing protocol, Optimized Link State Routing (OLSR) protocol. We consider two strategies in this method: willingness_always and willingness_never to reduce the multipoint relay (MPR) ratio in dense networks. Thus, nodes with less influence on other nodes are excluded from nomination as MPRs. Simulations were used to confirm the efficiency of using our improved method. The results show that the MPR ratio was significantly reduced, and packet delivery ratio was increased compared to the conventional protocol.
- 9 March 2020
- Published by MDPI AG in Future Internet
- Vol. 12 (3) , 47
Open AccessImproved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks
In mobile ad hoc networks, network nodes cooperate by packet forwarding from the source to the destination. As the networks become denser, more control packets are forwarded, thus consuming more bandwidth and may cause packet loss. Recently, game theory has been applied to address several problems in mobile ad hoc networks like energy efficiency. In this paper, we apply game theory to reduce the control packets in dense networks. We choose a proactive routing protocol, Optimized Link State Routing (OLSR) protocol. We consider two strategies in this method: willingness_always and willingness_never to reduce the multipoint relay (MPR) ratio in dense networks. Thus, nodes with less influence on other nodes are excluded from nomination as MPRs. Simulations were used to confirm the efficiency of using our improved method. The results show that the MPR ratio was significantly reduced, and packet delivery ratio was increased compared to the conventional protocol.