Next Article in Journal
Smart Devices Security Enhancement via Power Supply Monitoring
Next Article in Special Issue
The Value of Simple Heuristics for Virtualized Network Function Placement
Previous Article in Journal
LPWAN Technologies: Emerging Application Characteristics, Requirements, and Design Considerations
Article

Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks

Graduate School of Engineering and Science, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(3), 47; https://doi.org/10.3390/fi12030047
Received: 7 February 2020 / Revised: 29 February 2020 / Accepted: 6 March 2020 / Published: 9 March 2020
(This article belongs to the Special Issue Machine Learning Advances Applied to Wireless Multi-hop IoT 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. View Full-Text
Keywords: multihop networks; OLSR; game theory; mobile ad-hoc networks; willingness; multipoint relay (MPR) multihop networks; OLSR; game theory; mobile ad-hoc networks; willingness; multipoint relay (MPR)
Show Figures

Figure 1

MDPI and ACS Style

Oyakhire, O.; Gyoda, K. Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks. Future Internet 2020, 12, 47. https://doi.org/10.3390/fi12030047

AMA Style

Oyakhire O, Gyoda K. Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks. Future Internet. 2020; 12(3):47. https://doi.org/10.3390/fi12030047

Chicago/Turabian Style

Oyakhire, Omuwa; Gyoda, Koichi. 2020. "Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks" Future Internet 12, no. 3: 47. https://doi.org/10.3390/fi12030047

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop