Resource optimization scheme for multimedia-enabled wireless mesh networks.

Sensors (Basel)

Department of Electronics and Radio Engineering, Kyung Hee University, Yongin 446-701, Korea.

Published: August 2014

Wireless mesh networking is a promising technology that can support numerous multimedia applications. Multimedia applications have stringent quality of service (QoS) requirements, i.e., bandwidth, delay, jitter, and packet loss ratio. Enabling such QoS-demanding applications over wireless mesh networks (WMNs) require QoS provisioning routing protocols that lead to the network resource underutilization problem. Moreover, random topology deployment leads to have some unused network resources. Therefore, resource optimization is one of the most critical design issues in multi-hop, multi-radio WMNs enabled with multimedia applications. Resource optimization has been studied extensively in the literature for wireless Ad Hoc and sensor networks, but existing studies have not considered resource underutilization issues caused by QoS provisioning routing and random topology deployment. Finding a QoS-provisioned path in wireless mesh networks is an NP complete problem. In this paper, we propose a novel Integer Linear Programming (ILP) optimization model to reconstruct the optimal connected mesh backbone topology with a minimum number of links and relay nodes which satisfies the given end-to-end QoS demands for multimedia traffic and identification of extra resources, while maintaining redundancy. We further propose a polynomial time heuristic algorithm called Link and Node Removal Considering Residual Capacity and Traffic Demands (LNR-RCTD). Simulation studies prove that our heuristic algorithm provides near-optimal results and saves about 20% of resources from being wasted by QoS provisioning routing and random topology deployment.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179066PMC
http://dx.doi.org/10.3390/s140814500DOI Listing

Publication Analysis

Top Keywords

wireless mesh
16
resource optimization
12
mesh networks
12
multimedia applications
12
qos provisioning
12
provisioning routing
12
random topology
12
topology deployment
12
resource underutilization
8
routing random
8

Similar Publications

Over the past decade, wireless mesh networks (WMNs) have seen significant advancements due to their simple deployment, cost-effectiveness, ease of implementation, and reliable service coverage. However, despite these advantages, the placement of nodes in WMNs presents a critical challenge that significantly impacts their performance. This issue is recognized as an NP-hard problem, underscoring the necessity of development optimization algorithms, such as heuristic and metaheuristic approaches.

View Article and Find Full Text PDF

Implementation of Smart Farm Systems Based on Fog Computing in Artificial Intelligence of Things Environments.

Sensors (Basel)

October 2024

Department of Interdisciplinary Information System, Graduate School of Smart Convergence, Kwangwoon University, Seoul 01897, Republic of Korea.

Cloud computing has recently gained widespread attention owing to its use in applications involving the Internet of Things (IoT). However, the transmission of massive volumes of data to a cloud server often results in overhead. Fog computing has emerged as a viable solution to address this issue.

View Article and Find Full Text PDF

Bluetooth Low Energy (BLE) mesh networks provide flexible and reliable communication among low-power sensor-enabled Internet of Things (IoT) devices, enabling them to communicate in a flexible and robust manner. Nonetheless, the majority of existing BLE-based mesh protocols operate as flooding-based piconet or scatternet overlays on top of existing Bluetooth star topologies. In contrast, the Ad hoc On-Demand Distance Vector (AODV) protocol used primarily in wireless ad hoc networks (WAHNs) is forwarding-based and therefore more efficient, with lower overheads.

View Article and Find Full Text PDF

A Machine Learning Approach for Path Loss Prediction Using Combination of Regression and Classification Models.

Sensors (Basel)

September 2024

Department of Radio Communications and Video Technology, Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria.

One of the key parameters in radio link planning is the propagation path loss. Most of the existing methods for its prediction are not characterized by a good balance between accuracy, generality, and low computational complexity. To address this problem, a machine learning approach for path loss prediction is presented in this study.

View Article and Find Full Text PDF

Radio frequency identification technology; A method of analysis of falsified pharmaceutical products: Literature review.

SAGE Open Med

August 2024

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Quality has been a concern of the World Health Organization since its inception and is defined as fitness for use. Since our ancestors began trading several millennia ago, Falsified Pharmaceutical Products has been a recurring problem and still threatens economic stability and public health. Its definition various from country to country and according to World Health Organization, 2017, it is 'a product that is deliberately and fraudulently mislabelled with respect to identity and/or source'.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!