Evaluation of Time-Triggered Traffic in Time-Sensitive Networks Using the OPNET Simulation Framework

Pahlevan, Maryam; Obermaisser, Roman

doi:10.1109/pdp2018.2018.00048

Cited by 35 publications

(12 citation statements)

References 11 publications

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“…OPNET is the latest network simulator from Riverbed Technology with state-of-the-art network simulation support. The graphical interface and scripting provision of OPNET makes it possible to design any kind of legacy network architectures and protocols [19] . It has the provision to inherit the real-world network environments by defining the latitude and longitude details.…”

Section: Methodsmentioning

confidence: 99%

Strengthening IoT-WSN Architecture for Environmental Monitoring

Akila¹,

Evanjaline²

2019

IJITEE

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Saving the environment is the alarming red-hot topic of this trendy world. A proper arrangement is required to monitor different environmental pollutions. Many researchers and volunteers are developing and deploying Wireless Sensor Networks (WSN) for this purpose. Internet-of-Things (IoT) is one of the widely used cost-effective modern technologies to design wireless sensor nodes. Three fresh functional modules are introduced in this work to constitute the proposed work named as 'Strengthening IoT-WSN Architecture for Environmental Monitoring' (SIAEM) which is indented to overcome some impuissance of applying generalized wireless sensor network architecture in the field of environmental pollution monitoring. The functional modules introduced in this work are Customized Clustering of IoT-WSN Nodes (CCIN) and Energy Aware State Change Routing Protocol (EASCRP). The objective of this proposed IoT-WSN architecture is to reduce the Latency, Jitter, End-to-End delay and Power Consumption whereas, improving the performance parameters such as Throughput and Packet Delivery Ratio. The impact of proposed method in the performance of IoT-WSN network is measured and stated using benchmark network simulator.Assign Duty relay node to node Node will broadcast Relay_Node_Declaration message B. IoT-WSN routing protocolsNetwork protocols are a set of conventions followed in a network environment for initiating connections, manage communication resource stability, adoption of new nodes, discarding existing nodes and safely switching different connections based on the necessities. There are several types of protocols involved in a communication such as Basic network communication protocols, Network security protocols, Network routing protocols and Network management protocols. Here the routing protocols are used to establish connections by analyzing possible communication paths between source and destination nodes. The indent of a routing protocol can be communication speed, network stability, optimum power utilization or the combination of more than one objective. Commonly used protocols in IoT are Bluetooth protocol, WiFi IEEE 802.11 b/g/n, MQTT, CoAP, DDS, AMQP, LoRa and Zigbee.

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Section: Methodsmentioning

confidence: 99%

Strengthening IoT-WSN Architecture for Environmental Monitoring

Akila¹,

Evanjaline²

2019

IJITEE

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“…OPNETone of the best network simulation and evaluation tools of the decade which is developed by OPNET Technologies Inc. and acquired by Riverbed Technology. OPNET uses graphical representations of different network nodes and network environments [16] [17]. It has the provision to inherit the real-world network environments by defining the latitude and longitude details.…”

Section: Methodsmentioning

confidence: 99%

Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks

Anandhavalli*¹,

Bhuvaneswari²

2019

IJITEE

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Nowadays Wireless Sensor Networks are using Internet-of-Thing (IoT) technology-based nodes because of the wide usance and cost effectiveness. Many of the Wireless sensor nodes are battery powered devices with limited computational and communication resources. The algorithm of the conventional wireless sensor networks are designed for small closed group network communications with better power management and reasonable security strategies. When using IoT based Wireless sensor networks, the nodes are used to communicate with the internet, where there is a need for more secured algorithm. The internet protocols are having powerful security authentication systems those require more computational resources, thus they can drain a battery operated little wireless sensor node. This work is indented to introduce a legacy power-security balanced algorithm to use in the IoT based Wireless Sensor Network environments. Proxy Mobile Internet Protocol version 6 (PMIPv6) is selected as the base protocol in which the proposed security authentication mechanism is used instead of inbuilt Diffie-Hellman authentication scheme. A customized Media Access Control (MAC) address-based session key initialization procedure along with seed based random number session key update mechanism is proposed and verified in this work.

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“…The basic framework modules also include the TSimNet Switch Model, which can identify streams based on MAC, VLAN, and/or IP addresses, while the TSimNet Host Model implements complex functions, such as ingress and egress policy, as well as traffic shaping. Related simulation evaluations with OMNeT++ have been reported in [189], while a TSN simulation model based the OPNET simulation framework has been presented in [190]. Gross et al [191] have presented a TSN node architecture design where the time-sensitive and computationally intensive network functions are implemented in dedicated hardware modules to reduce the CPU load.…”

Section: E General Tsn Research Studiesmentioning

confidence: 99%

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

Nasrallah

Thyagaturu

Alharbi

et al. 2019

IEEE Commun. Surv. Tutorials

476

219

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Many network applications, e.g., industrial control, demand Ultra-Low Latency (ULL). However, traditional packet networks can only reduce the end-to-end latencies to the order of tens of milliseconds. The IEEE 802.1 Time Sensitive Networking (TSN) standard and related research studies have sought to provide link layer support for ULL networking, while the emerging IETF Deterministic Networking (DetNet) standards seek to provide the complementary network layer ULL support. This article provides an up-to-date comprehensive survey of the IEEE TSN and IETF DetNet standards and the related research studies. The survey of these standards and research studies is organized according to the main categories of flow concept, flow synchronization, flow management, flow control, and flow integrity. ULL networking mechanisms play a critical role in the emerging fifth generation (5G) network access chain from wireless devices via access, backhaul, and core networks. We survey the studies that specifically target the support of ULL in 5G networks, with the main categories of fronthaul, backhaul, and network management. Throughout, we identify the pitfalls and limitations of the existing standards and research studies. This survey can thus serve as a basis for the development of standards enhancements and future ULL research studies that address the identified pitfalls and limitations.

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Evaluation of Time-Triggered Traffic in Time-Sensitive Networks Using the OPNET Simulation Framework

Cited by 35 publications

References 11 publications

Strengthening IoT-WSN Architecture for Environmental Monitoring

Strengthening IoT-WSN Architecture for Environmental Monitoring

Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

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