The research activity in the field of Wireless Mesh Networks (WMNs) has been extremely active in the last years, leading to the design and implementation of different protocols and architectures. Moreover, due to their flexibility, WMNs have often been considered for Internet of Things (IoT) applications, in order to provide seamless connectivity in scenarios where traditional infrastructure-based connectivity is not available (e.g., rural or industrial areas). In this chapter, an IoT-oriented mesh infrastructure for WMNs, based on the Better Approach To Mobile Ad-Hoc Networks (B.A.T.M.A.N.) protocol, is presented, with the aim to support mobility of nodes and also to allow the integration of non-mesh IoT nodes, enabling them to access the network and transmit data collected from the environment in a "transparent" way.

Seamless IoT Mobile Sensing through Wi-Fi Mesh Networking / Cilfone, Antonio; Davoli, Luca; Belli, Laura; Ferrari, Gianluigi. - (2022), pp. 67-80. [10.1049/PBTE101E_ch4]

Seamless IoT Mobile Sensing through Wi-Fi Mesh Networking

Cilfone, Antonio;Davoli, Luca;Belli, Laura;Ferrari, Gianluigi
2022

Abstract

The research activity in the field of Wireless Mesh Networks (WMNs) has been extremely active in the last years, leading to the design and implementation of different protocols and architectures. Moreover, due to their flexibility, WMNs have often been considered for Internet of Things (IoT) applications, in order to provide seamless connectivity in scenarios where traditional infrastructure-based connectivity is not available (e.g., rural or industrial areas). In this chapter, an IoT-oriented mesh infrastructure for WMNs, based on the Better Approach To Mobile Ad-Hoc Networks (B.A.T.M.A.N.) protocol, is presented, with the aim to support mobility of nodes and also to allow the integration of non-mesh IoT nodes, enabling them to access the network and transmit data collected from the environment in a "transparent" way.
9781839532825
9781839532832
Seamless IoT Mobile Sensing through Wi-Fi Mesh Networking / Cilfone, Antonio; Davoli, Luca; Belli, Laura; Ferrari, Gianluigi. - (2022), pp. 67-80. [10.1049/PBTE101E_ch4]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2926752
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