Showing 2 results for Qos
P. Khadivi, S. Samavi, H. Saidi, T. D. Todd,
Volume 1, Issue 3 (7-2005)
Abstract
Multi-constraint quality-of-service routing will become increasingly important as
the Internet evolves to support real-time services. It is well known however, that optimum
multi-constraint QoS routing is computationally complex, and for this reason various
heuristics have been proposed for routing in practical situations. Among these methods,
those that use a single mixed metric are the most popular. Although mixed metric routing
discards potentially useful information, this is compensated for by significantly reduced
complexity. Exploiting this tradeoff is becoming increasingly important where low
complexity designs are desired, such as in battery operated wireless applications. In this
paper, a novel single mixed metric multi-constraint routing algorithm is introduced. The
proposed technique has similar complexity compared with existing low complexity
methods. Simulation results are presented which show that it can obtain better performance
than comparable techniques in terms of generating feasible multi-constraint QoS routes.
Mahendra Shridhar Naik, Chaitra S N, Amit Kumar K,
Volume 21, Issue 4 (11-2025)
Abstract
6LoWPAN is a significant innovation for low-power devices such as sensors and motes, enabling efficient communication in IoT networks. This paper examines the impact of topology and sink node placement on data delivery within these networks, focusing on the Routing Protocol for Low-Power and Lossy Networks (RPL). Various network performance metrics are evaluated to determine optimal routing paths, revealing that increased node density and network size lead to higher delays and congestion. The study highlights that the central placement of the sink node enhances performance. Comparatively, mesh topology outperforms random topology in terms of efficiency. Simulations were conducted to evaluate the effectiveness of Objective Functions (OFs), specifically OF0 and MRHOF. The results indicate that MRHOF surpasses OF0, with performance improvements scaling with network size.
