Network is important to convey the data at the proper time for a wide range of networks applications, particularly wellbeing applications. A data around an occasion isn't worth if it comes after a specific interim of time. An impact happens if more than one hub begins sending the bundle at a similar case of time over a similar channel. All the impacted parcels should be retransmitted. A Wireless Network (WN) can self-heal and self-organize in a dynamic environment. The capacity ensures that the failure of a particular link to a node due to various reasons does not lead to node isolation. In Queueing Theory based Stability node analysis the default routing in networks are derived from the presentrules. But they fail to utilize the partial infrastructure feature of the WNs. Markov chain model and travel probabilities are utilized for accepting out the delay and throughput for networks. The Markov chain display is the noticeable model to gauge the execution of any framework. A model for a wireless hub utilizing Markov chain investigation about multihop networks is proposed determine the different probabilities, for example, sit out of gear, effective transmission. Ant based pressure and rest planning method is proposed. In this approach at first, the data of the hubs is limited and followed through Ant Colony Optimization (ACO) procedure. After the restriction procedure, the data which must be transmitted to the goal hub is compacted so as to make the network more proficient. In this paper, the performance of the existing algorithms like the Path Delay Analysis, Minimum Spanning Tree (MST), Group Based Multi Routing Adapted (GBMRA) and Airtime Queueing Theory Link Metric (AQTLM) is compared with that of the proposed protocol QTACA. So, the QTACA would best suit WNs, which have both stationary nodes and mobile clients.

Keywords: Queueing Theory Based Ant Colony Approach (QTACA), Minimum Spanning Tree (MST), Group Based Multi Routing Adapted (GBMRA) and Airtime Queueing Theory Link Metric (AQTLM), Node Mode Analysis (NMA), Markov Chain and Wireless network.