A Survey on Efficient Secure Routing in Industrial Network for Improved QoS

The industrial units adapt different networks for the management of their units, processes and resources. The industrial sector uses different networks for their smooth functioning which would require accessing various network services by their users, employees and customers. However, the industrial networks arenot exemptions from network threats. Number of threats exist which challenge the functioning of industrial network like DDoS (Distributed Denial of Service), black hole, eavesdrop attack and so on. Most attacks focus towards degrading the QoS performance of industrial network. To handle this, different approaches are available in literature which works based on several features like traffic, hop count, payload, service frequency, retransmission frequency, node behaviors, and location of nodes and so on. Similarly, most threats occur over the routing procedure. Towards maximizing the QoS of industrial network, it is necessary to analyze various routing protocols and their way of handling different threats. This article analyzes various routing protocols and threats towards QoS of Industrial networks.

Quality of service performances of video and voice transmission in universal mobile telecommunications system network based on OPNET

The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.

Multi-class Multipath Routing Protocol for Low Power and Lossy Networks, with Energy Balanced Optimal Rate Assignment

The wireless sensor networks (WSNs) are special network which has purpose of gathering information in certain area. Multipath routing is the paramount path of addressing QoS and energy balancing concerns in low power and lossy networks (LLNs) especially in IoT technology. Most of the extant efforts bring the limited number of disjoint paths into play, and intersect the traffic among them pursuant to a compound metric or centralized optimization problem. This paper proposes a multi-class multipath routing protocol for LLNs (called M2RPL), that construct a braided multipath routing graph based on the standard RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) protocol, and an energy balanced optimal rate assignment mechanism (EBORA) that solves a local multi class optimization problem for minimum cost traffic rate assignment. Moreover the algorithm tries to maximize network lifetime by equalizing the energy dissipation rates of equi-level nodes. The simulation results expose the efficiency of the proposed framework, leading to an average 15% increase in lifetime, and improved QoS performance in terms of delay and reliability, compared to some well-known algorithms.

Time-aware cloud manufacturing service selection using unknown QoS prediction and uncertain user preferences

Selecting the most efficient from several functionally equivalent services remains an ongoing challenge. Most manufacturing service selection methods regard static quality of service (QoS) as a major competitiveness factor. However, adaptations are difficult to achieve when variable network environment has significant impact on QoS performance stabilization in complex task processes. Therefore, dynamic temporal QoS values rather than fixed values are gaining ground for service evaluation. User preferences play an important role when service demanders select personalized services, and this aspect has been poorly investigated for temporal QoS-aware cloud manufacturing (CMfg) service selection methods. Furthermore, it is impractical to acquire all temporal QoS values, which affects evaluation validity. Therefore, this paper proposes a time-aware CMfg service selection approach to address these issues. The proposed approach first develops an unknown-QoS prediction model by utilizing similarity features from temporal QoS values. The model considers QoS attributes and service candidates integrally, helping to predict multidimensional QoS values accurately and easily. Overall QoS is then evaluated using a proposed temporal QoS measuring algorithm which can self-adapt to user preferences. Specifically, we employ the temporal QoS conflict feature to overcome one-sided user preferences, which has been largely overlooked previously. Experimental results confirmed that the proposed approach outperformed classical time series prediction methods, and can also find better service by reducing user preference misjudgments.

Design and Implementation of Smart Parking System Using Location-Based Service and Gamification Based On Internet Of Things

Information on the number of available parking slot capacity and trip routes to the destination parking area, and motivation in choosing a parking area location are parameters that can help two-wheeled vehicle users choose the right parking area location. The three parameters that determine the accuracy of selecting a parking area location are implemented in an Internet of Things (IoT) based smart parking system. This system can provide information about the maximum number of slot capacities and the number of available slot capacities at the parking area. Two-wheeled riders are given information about which route to take to the destination parking area by utilizing the Location-Based Service (LBS). These two features are then supported by applying the gamification method to motivate two-wheeled riders to choose the right parking area. The smart parking system is tested with considered Quality of Service (QoS) parameter and black box testing. The results of testing the smart parking system produce QoS performance on the Line of Sight (LOS) test, with an average delay is 71.66 ms, average jitter is 107.59 ms, and throughput is 23 kbps. Meanwhile, in the non-LOS test, the average delay is 132.88 ms, the average jitter is 200.84 ms, and the throughput is 12 kbps. Overall system performance obtained the percentage of reliability is 99.65 %, and availability is 99.65 %. In black-box testing, LBS and gamification methods can implement according to application requirements specifications.

Performance Study Of WiMAX As Backhaul For Broadband Internet Service

IEEE 802.16/WiMAX wireless technology is designed to provide broadband wireless access (BWA). WiMAX PMP is envisioned to provide last-mile Internet access as well as backhaul for SOHO (Small office small home) environments. IEEE 802.11 WLAN is widely suggested for the last-mile network segment. In this project, a simulation study is done with four major goals in mind: (i) to gather expertise on and evaluate OPNET Modeler 14.5 wireless suite simulation tools for further use, (ii) to gather measurements of two important QoS characteristics of end-to-end delay & jitter in MiWAX backhaul and WLAN last-mile network, (iii) to determine a model specifying which WiMAX scheduling service is best suited for VoIP and Interactive video conferencing for supporting a WiMAX backhaul network, and (iv) to determine any issues impeding QoS performance when traffic traverses the two wireless networks. We concluded from extensive simulation that WiMAX UGS scheduling service is best suited for variable bit rate (VRBR) VoIP traffic and rtPS is the scheduling service of choice for constant bit rate (CBR) video conferencing traffic in the hybrid wireless SOHO network.

Performance Study Of WiMAX As Backhaul For Broadband Internet Service

IEEE 802.16/WiMAX wireless technology is designed to provide broadband wireless access (BWA). WiMAX PMP is envisioned to provide last-mile Internet access as well as backhaul for SOHO (Small office small home) environments. IEEE 802.11 WLAN is widely suggested for the last-mile network segment. In this project, a simulation study is done with four major goals in mind: (i) to gather expertise on and evaluate OPNET Modeler 14.5 wireless suite simulation tools for further use, (ii) to gather measurements of two important QoS characteristics of end-to-end delay & jitter in MiWAX backhaul and WLAN last-mile network, (iii) to determine a model specifying which WiMAX scheduling service is best suited for VoIP and Interactive video conferencing for supporting a WiMAX backhaul network, and (iv) to determine any issues impeding QoS performance when traffic traverses the two wireless networks. We concluded from extensive simulation that WiMAX UGS scheduling service is best suited for variable bit rate (VRBR) VoIP traffic and rtPS is the scheduling service of choice for constant bit rate (CBR) video conferencing traffic in the hybrid wireless SOHO network.

Application of Fuzzy Logic for Slice QoS in 5G Networks

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.

Self-Pruning based Probabilistic Approach to Minimize Redundancy Overhead for Performance Improvement in MANET

The Broadcast storm problem causes severe interference, intense collision and channel contention, which greatly degrades the QoS performance metrics of the routing protocols. So, we suggest a neighbourhood coverage knowledge probabilistic broadcasting model (NCKPB) integrating with AODV protocol with knowledge on 2-hop neighbourhood coverage; a connectivity function to control a node’s forwarding probability of retransmission to alleviate significant overhead redundancy. Our objective is to minimize the broadcast RREQ overhead while ensuring fair retransmission bandwidth. We considered two more important measures called Saved Rebroadcast and Reachability. The outcomes of NCKPB, Fixed probability (FP) and Flooding (FL) routing schemes are examined under three major operating conditions, such as node density, mobility and traffic load. The NS-2 results demonstrate the efficacy of the proposed NCKPB model by illustrating its performance superiority over all key metrics such as redundancy overhead, end to end latency, throughput, reachability, saved rebroadcast and collision contrast to FP and FL.