Wireless sensor networks are distributed networks and randomly deployed in harsh environments. The scattered nature of the sensor nodes in an unattended environment makes them vulnerable to various types of attacks. Multiple attacks like flooding attacks degrade the network performance and lifetime by sending various requests to malicious nodes. This paper proposes the detection and analysis of flooding attacks in mesh wireless sensor networks using the Blue tooth communication package MATLAB 2020a toolbox. The flooding attack disabled the relay nodes during the routing path between sources and destination nodes for each simulation scenario. The simulations are conducted by the number of sensors variation for the random generator. After simulating the meshed nodes, the statistical results are the message delivery chance, average hope count, and critical relays. The opportunity of message delivery having a route between sources and destinations is 88.64%. The effectiveness of the proposed system for detection and analysis of flooding attacks is evaluated by random forest machine earing techniques with an average detection rate and accuracy of 99.83%, which is greater than by 3.8%.