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.
