The most predominant technology for Internet of Things (IoT) related application is Wireless Mesh Network (WMN). Normally the issue generated in WMN is the selection of a path for secure packet transmission. A lot of methods are proposed in WMN for enabling the possibility of achieving secure packet transmission within the network or to other networks. The issues like delay, bandwidth, and security are the main constraints identified while accessing the WMN during packet transmission. In this work, a blockchain-based Topographical Relay Selection Secure Routing (B-TRSSR) technique for the multi-hop communication is proposed in consideration of the bandwidth, delay, and flow control. In this proposed method an entirely different transmission path is selected by avoiding all risky zones by ensuring the security of transmitted packets. The various security threats like tampering attacks, dropping attacks, flooding attacks, and malevolent attacks are identified and is eliminated by introducing an Adaptive Intrusion Detection System(AIDS). The issues like transmission delay, Bandwidth, and overload traffic are handled by introducing a routing metric called Bandwidth, Transmission delay, and Overload Handler (BTDOH). This was enhanced by modified Q-Learning algorithm which inturn supports the flow control strategies also. The experimentation results proves that the proposed hybrid model will supports the secure transmission of packets in Wireless Mesh Networks(WMN) in an effective manner when compared with other state of art methods

Adaptive Intrusion Detection System(AIDS), Blockchain, Multihop communication, Topographical Relay Selection Secure Routing (B-TRSSR),Modified Q-Learning algorithm.