Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment

M Feng, L Qian, H Xu - IEICE Transactions on Communications, 2019 - search.ieice.org
This paper studies the problem of real-time routing in a multi-autonomous robot enhanced
network at uncertain and vulnerable tactical edge. Recent network protocols, such as …

Multi-robot enhanced MANET intelligent routing at uncertain and vulnerable tactical edge

M Feng, L Qian, H Xu - MILCOM 2018-2018 IEEE Military …, 2018 - ieeexplore.ieee.org
This paper investigates the problem of intelligent resilient routing in a multi-autonomous
robot enhanced network at uncertain and vulnerable tactical edge. To further increase the …

Multi-robot enhanced MANET routing with situation aware online reinforcement learning

M Feng, H Xu - 2018 IEEE Symposium Series on …, 2018 - ieeexplore.ieee.org
This paper studies the problem of real-time routing in a multi-autonomous robot enhanced
network under uncertain and complex environment. Emerging network protocols, such as …

Testbed results of an opportunistic routing for multi-robot wireless networks

DM Kim, YJ Hwang, SL Kim, GJ Jin - Computer communications, 2011 - Elsevier
Opportunistic routing is a candidate for multihop wireless routing where the network
topology and radio channels vary rapidly. However, there are not many opportunistic routing …

Location-aware hybrid microscopic routing scheme for mobile opportunistic network

SR Bharamagoudar, SV Saboji - IAES International Journal of …, 2023 - search.proquest.com
Mobile opportunistic networks (MON) has been used for provisioning delay-tolerant
applications. In MON the device communicates with each other with no assured end-to-end …

An adaptive intelligent routing algorithm based on deep reinforcement learning

J Bai, J Sun, Z Wang, X Zhao, A Wen, C Zhang… - Computer …, 2024 - Elsevier
A mobile ad hoc network (MANET) is a self-organizing network composed of multiple mobile
nodes. These nodes achieve distributed communication and wireless resource sharing …

A Multi-agent Reinforcement Learning Routing Protocol in Mobile Robot Network

M Sun, X Wang, X Liu, S Wu, X Zhou… - 2021 4th International …, 2021 - ieeexplore.ieee.org
Robots are now essential in unreachable, repeated, and dangerous real-world applications
where they take place of human beings. One of the important capabilities of a multi-robot …

A novel routing scheme for resource-constraint opportunistic networks: A cooperative multiplayer bargaining game approach

L Li, Y Qin, X Zhong - IEEE Transactions on Vehicular …, 2015 - ieeexplore.ieee.org
Routing is a challenging issue in opportunistic networks (OPPNETs). Existing routing
schemes in OPPNETs can be classified into two categories: single-copy schemes and …

Multi-agent Graph Reinforcement Learning Based Cross-Layer Routing for Mobile Ad-Hoc Network

Y Wang, W Xie, Z Ding, Q Yang, Y Lin… - … Conference on Internet of …, 2023 - Springer
To ensure the reliable communication in mobile ad hoc networks (MANETs) with highly
dynamic environment, this paper investigates cross-layer routing problem to minimize the …

Opportunistic Network Routing Algorithm Based on Ferry Node Cluster Active Motion and Collaborative Computing

G Xu, Q Tang, Z Wang, B Huang - International Conference on Wireless …, 2022 - Springer
In opportunistic network with node clusters, it is usually necessary to set up ferry nodes to
connect each cluster to achieve the overall connectivity of the network, and the movement …