Quality of service differentiation measurements in 4G networks

The growing demand of usage of wireless sensors networks (WSNs) in multiple types of applications such as environment monitoring or asset tracking makes the quality-of-service (QoS) a paramount topic in wireless sensors applications. In these applications, each sensor node may collect different types of data with different levels of importance involving a different treatment to meet QoS purpose. Consequently, a sensor network should be ready to spend more resources in transmitting packets that hold more important information. In this paper, the authors propose an enhanced protocol with differentiated services for WSNs called QoS-HEEP. The proposed protocol is an improvement of HEEP protocol while providing requested quality of service for high priority real time traffic, which is distinguished from the low priority and non-real time traffic. Thus, input traffic streams are served based on their priorities. Through simulations using NS Simulator; it is observed that the authors' proposal outperforms more than other protocols developed in the literature for QoS provisions in WSNs.

Download Full-text

Slice Management for Quality of Service Differentiation in Wireless Network Slicing

Sensors ◽

10.3390/s19122745 ◽

2019 ◽

Vol 19 (12) ◽

pp. 2745 ◽

Cited By ~ 4

Author(s):

Namwon An ◽

Yonggang Kim ◽

Juman Park ◽

Dae-Hoon Kwon ◽

Hyuk Lim

Keyword(s):

Quality Of Service ◽

Random Network ◽

Service Differentiation ◽

Traffic Flows ◽

Average Throughput ◽

Average Delay ◽

Network Slicing ◽

Management Scheme ◽

Simulation Results

Network slicing is a technology that virtualizes a single infrastructure into multiple logical networks (called slices) where resources or virtualized functions can be flexibly configured by demands of applications to satisfy their quality of service (QoS) requirements. Generally, to provide the guaranteed QoS in applications, resources of slices are isolated. In wired networks, this resource isolation is enabled by allocating dedicated data bandwidths to slices. However, in wireless networks, resource isolation may be challenging because the interference between links affects the actual bandwidths of slices and degrades their QoS. In this paper, we propose a slice management scheme that mitigates the interference imposed on each slice according to their priorities by determining routes of flows with a different routing policy. Traffic flows in the slice with the highest priority are routed into shortest paths. In each lower-priority slice, the routing of traffic flows is conducted while minimizing a weighted summation of interference to other slices. Since higher-priority slices have higher interference weights, they receive lower interference from other slices. As a result, the QoS of slices is differentiated according to their priorities while the interference imposed on slices is reduced. We compared the proposed slice management scheme with a naïve slice management (NSM) method that differentiates QoS among slices by priority queuing. We conducted some simulations and the simulation results show that our proposed management scheme not only differentiates the QoS of slices according to their priorities but also enhances the average throughput and delay performance of slices remarkably compared to that of the NSM method. The simulations were conducted in grid network topologies with 16 and 100 nodes and a random network topology with 200 nodes. Simulation results indicate that the proposed slice management increased the average throughput of slices up to 6%, 13%, and 7% and reduced the average delay of slices up to 14%, 15%, and 11% in comparison with the NSM method.

Download Full-text