Abstract
The revolution caused by the communication without wires has brought in multitudes of basic modifications in the data network and the telecommunication, making the integrated networks a reality. The further advancements in the wireless communication has enabled to set personal networks using the portable devices, and are termed as the adhoc networks. The networks formed under specific circumstances or a reason could follow any one of the topology to convey the information. W ireless mesh network is the form of such network mentioned above that organized in a mesh topology. This network formed in mesh topology contains several consumers who are arranged in the distributed manner and forward the packets in a one or more than one hop model. The protocols that help in sorting out the path for sending and receiving the information are has a vital influence over the network in mesh topology as they affect the throughput, life of established links etc. Integrating the wireless mesh topology to the internet of things has improved the way of information sharing by linking multitudes tangible things around. The mesh topology wireless networks formed using the portable devices or other –wise called as the mobile networks that are connected over internet are open to security breaches as the mesh holds few nodes that are malicious. This makes the information conveyed to be either compromised or manipulated. The article in order to ensure the reliability in the transmission of the data with the heightened confidentiality and integrity in the IOT empowered mobile networks proposes a routing strategy that is robust across the consumers in mesh, the gateway and the routers. The channels across the devices in the mesh are formed based on the efficiency of the connections for the distribution of the data. The simulation process of the proposed work using the network simulator 2 shows the performance improvement of the proposed work with respect to throughput of the network, packet loss rate, packet delivery rate, latency, energy efficiency and the computational overhead.
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