41 天前 - … The main results of using the deep learning method to determine a user's location
within an SDN network will be discussed in this chapter. Based on this, we will first describe …

49 天前 - … the network … sensors, acting as a bridge between sensor networks and the internet
or cloud platforms. Routers then direct the data to its intended destination within the network. …

56 天前 - … This paper presents the design of a high-level network architecture for managing
… clusters of sensors and actuators: the proposed architecture is based on a Network Slicing …

67 天前 - This book reviews research works in recent trends in blockchain, AI, and Digital
Twin based IoT data analytics approaches for providing the privacy and security solutions for …

77 天前 - … In this section, NS3 is used to simulate the wireless sensor network experiment,
and 50 wireless network nodes are simulated for node trust evaluation and trusted routing …

77 天前 - … overview of the network, hence facilitating the gathering of network statistics [35,39].
This study introduces an architecture that integrates DL techniques with SDN to improve …

92 天前 - … This research suggested a multi-agent reinforcement learning routing system for
heterogeneous wireless sensor networks (MARL-HWSN). This routing protocol could change …

94 天前 - … -based detection and the ocean current interference. Then, we propose FATHOM-Net,
a novel MARL architecture based on SDN, … acoustic sensor networks,” IEEE Sensors …

107 天前 - … network. Consider a graph that represents an IoTbased sensor network, in which
sensors … A sensor node pair (nk, nj) is connected, when the distance of the pair is less than the …

113 天前 - … based on game theory is proposed under a three-layer satellite network architecture,
which is designed based … Moreover, a game theory-based matching optimization model is …