An adaptive approach to improve scalability in large scale mesh networks

Wireless Mesh Networks provide promising approach to provide internet connectivity to the users at low cost. The scalability in mesh network is the major subject of research community currently, as the number of users are increasing to access internet for online gaming, video streaming, and security applications. The scalable features are very much necessary for any type of network (wired or wireless) to provide a quality service in case of large number of users and traffic loads by utilizing existing software and hardware resources. The packet level constraints such as; jitter effect, delay, Overhead, data loss and bandwidth are used to determine the scalability of system applications, but it is not much efficient as per the user perception. In this paper, the Relay Node based selection approach called an Adaptive Informant Factor (AIF) is considered in order to improve the maximal transmission of bitrate, reducing error rate, and hence increasing scalability. The AIF can be considered as the advanced objective metric and the performance comparison of our proposed algorithm is completed against the other existing solutions in terms of scalability and the optimized wireless network capacity.