Wireless mesh networks (WMNs) are wireless communication networks organized in a mesh topology with radio capabilities. These networks can self-form and self-heal and are not restricted to a specific technology or communication protocol. They provide flexible yet reliable connectivity that cellular networks cannot deliver. Thanks to technological advances in machine learning, software defined radio, UAV/UGV, big data, IoT and smart cities, wireless mesh networks have found much renewed interest for communication network applications. This edited book covers state of the art research innovations and future directions in this field. WMNs offer attractive communication solutions in difficult environments such as emergency situations, battlefield surveillance, field operations, disaster recovery, tunnels, oil rigs, high-speed mobile-video applications on board transport, VoIP, and self-organizing internet access for communities. The main topics covered include BLL-based mesh networks, body sensor networks, seamless IoT mobile sensing through Wi-Fi mesh networking, software defined radio for wireless mesh networks, UAV-to-ground multi-hop communication using backpressure and FlashLinQ-based algorithms, unmanned aerial vehicle relay networks, multimedia content delivery in wireless mesh networking, adaptive fuzzy agents in big data and multi-sensor environments and AI-aided resource sharing for WMNs. This is a useful reference for ICT networking engineers, researchers, scientists, engineers, advanced students and lecturers in both academia and industry working on wireless communications and WMNs. It is also relevant to developers, designers and manufacturers of WMNs and wireless sensor networks (WSNs); and scientists and engineers working on applications of WNNs and WSNs.

Wireless Mesh Networks for IoT and Smart Cities: Technologies and Applications / Davoli, Luca; Ferrari, Gianluigi. - (2022), pp. 1-289. [10.1049/PBTE101E]

Wireless Mesh Networks for IoT and Smart Cities: Technologies and Applications

Luca Davoli;Gianluigi Ferrari
2022

Abstract

Wireless mesh networks (WMNs) are wireless communication networks organized in a mesh topology with radio capabilities. These networks can self-form and self-heal and are not restricted to a specific technology or communication protocol. They provide flexible yet reliable connectivity that cellular networks cannot deliver. Thanks to technological advances in machine learning, software defined radio, UAV/UGV, big data, IoT and smart cities, wireless mesh networks have found much renewed interest for communication network applications. This edited book covers state of the art research innovations and future directions in this field. WMNs offer attractive communication solutions in difficult environments such as emergency situations, battlefield surveillance, field operations, disaster recovery, tunnels, oil rigs, high-speed mobile-video applications on board transport, VoIP, and self-organizing internet access for communities. The main topics covered include BLL-based mesh networks, body sensor networks, seamless IoT mobile sensing through Wi-Fi mesh networking, software defined radio for wireless mesh networks, UAV-to-ground multi-hop communication using backpressure and FlashLinQ-based algorithms, unmanned aerial vehicle relay networks, multimedia content delivery in wireless mesh networking, adaptive fuzzy agents in big data and multi-sensor environments and AI-aided resource sharing for WMNs. This is a useful reference for ICT networking engineers, researchers, scientists, engineers, advanced students and lecturers in both academia and industry working on wireless communications and WMNs. It is also relevant to developers, designers and manufacturers of WMNs and wireless sensor networks (WSNs); and scientists and engineers working on applications of WNNs and WSNs.
9781839532825
9781839532832
Wireless Mesh Networks for IoT and Smart Cities: Technologies and Applications / Davoli, Luca; Ferrari, Gianluigi. - (2022), pp. 1-289. [10.1049/PBTE101E]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2926753
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