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.

• Chapter 1: Wireless mesh network emulation
• Chapter 2: A sink-oriented routing protocol for blue light link-based mesh network
• Chapter 3: Body sensor networks - recent advances and challenges
• Chapter 4: Seamless IoT mobile sensing through Wi-Fi mesh networking
• Chapter 5: Software-defined radio for wireless mesh networks
• Chapter 6: Backpressure and FlashLinQ-based algorithms for multi-hop flying ad-hoc networks
• Chapter 7: Unmanned aerial vehicle relay networks
• Chapter 8: Multimedia content delivery in wireless mesh networking
• Chapter 9: Toward intelligent extraction of relevant information by adaptive fuzzy agents in big data and multi-sensor environments
• Chapter 10: Artificial intelligence-aided resource sharing for wireless mesh networks
• Chapter 11: Boosting machine learning mechanisms in wireless mesh networks through quantum computing
• Chapter 12: Game theoretical-based task allocation in malicious cognitive Internet of Things
• Chapter 13: Conclusions and future perspectives