An Improved QoS and Ranking Paths for Multimedia Traffic over MANETs

Abstract

The communication quality in multi-hop networks entirely depends on the selection of a multi-hop path from source to destination among the potential candidate paths. Finding a path with good throughput in multi hop MANETS (Mobile Ad Hoc Networks) is a critical job of QoS routing. Existing approaches finds the optimal path based on the best data rates among all links. However, other measures such as energy, delay and traffic intensity also impact in determining the optimal path, especially for multimedia traffic. In this paper, we present a model for optimal routing by considering the network route parameters namely distance, bandwidth, traffic intensity, queuing delay and energy utilization of the link. We use greedy approach for selecting a path in multi hop network. Our approach is useful in analyzing the candidate route weights and selects the optimal path from source to destination. In addition to finding best route, our protocol also ranks the candidate paths that enable alternative paths when there is a failure in the current path.

An Efficient QoS Routing Protocol for Real Time Applications in MANET

“…A drawback of this solution is its overhead in resources such as CPU time and battery. Ahmad et al (2014) presented a model to find the optimal path in MANET from source to destination by considering five network QoS parameters such as distance, bandwidth, traffic intensity, queuing delay and energy. In addition to determining the best route, our approach finds all routes from source to destination and ranks them according to weights of nodes in those paths.…”

Channel Estimation of massive MIMO Using Code Shift Keying Pilot Symbols (CSK-PS)

“…The tremendous increase of mobile users in the field of wireless communication has made the network connection greedy to bandwidth and thirsty to the channel estimation. Various approaches and techniques have already been proposed to alleviate these issues in computer networks [1,2,3,4]. All these approaches either improve the bandwidth by optimizing the size of the buffer or by optimizing the network parameters (i.e., queuing delay, prorogation delay, energy, and traffic intensity) for the fourth generation.…”