The 5G and Time-Sensitive Networking (TSN) integrated networks are promising communication solutions for future smart factories. The mixed time-triggered and event-triggered traffic inside the smart factories presents great challenges to the scheduling in 5G-TSN integrated networks. This paper proposes a prioritized-resource-sharing scheduling (PRSS) mechanism based on semi-persistent scheduling to guarantee the deterministic transmissions of event-triggered time-sensitive flows (ET-TS) while improving the resource utilizations. The proposed PRSS employs the max-min fair share algorithm in the dynamic scheduling for non-time-sensitive traffic to ensure the fairness of the resource allocation. Simulation results show that the proposed PRSS mechanism achieves lower delay and better resource utilizations compared with conventional scheduling mechanisms, especially for the ET-TS flows.

This poster presents a time synchronization method based on the time difference of arrival (TDOA) with propagation delay estimation in 5G-TSN integrated networks. It improves the time synchronization accuracy about 8.9% compared to the conventional method based on the round trip delay estimation.

Deterministic networking (DetNet) provides guaranteed transmission services for the time-sensitive traffic. However, how to route and schedule the traffic to enable bounded latency and jitter remains a great research challenge. This paper proposes a joint routing and scheduling method for DetNet based on Segment Routing (SR). This method includes three parts. The first part is prediction of the end-to-end (E2E) delay based on the delay budget. The second part is probabilistic packet dropping according to its deadline information. The third part is the three-queue cyclic queuing and forwarding. SR technology is utilized to implement the above functions. Simulation results show that the proposed method improves the performance of the worst-case E2E latency bound compared with the traditional method such as the Cycle Specified Queuing and Forwarding (CSQF). The packet receiving rate within the delay budget is increased by 1.9% and the worst-case E2E latency is decreased by 14.3% when the offered load is 0.8.

The booming of mobile technologies and Internet of Things (IoTs) have facilitated the explosion of wireless devices and brought convenience to people's daily lives. Coming with the explosive growth of wireless devices, incompatibility of heterogeneous wireless technologies hindered the growing demands for everything connected. And spectrum sharing among heterogeneous wireless technologies has led to severe Cross-Technology Interference (CTI), which is a vital obstacle for network reliability and spectrum utilization. Researches in recent years have shown that Cross-Technology Communication (CTC) turns out to be a promising solution with broad perspective for the coexistence of heterogeneous wireless technologies. However, due to the physical layer incompatibility of WiFi and Bluetooth Low Energy (BLE), the researches about CTC between these two most wildly used wireless technologies are limited by now. In this paper, we propose WiBWi, a payload encoding-based bidirectional CTC scheme between BLE and WiFi, which can achieve near-optimal throughput and powerful robustness. For uplink, i.e., BLE to WiFi communication, WiBWi leverages a novel extended WiFi preamble detection rule and probabilistic inference based encode mapping to achieve fast and reliable communication. For downlink, i.e., WiFi to BLE communication, WiBWi introduces an encoding mapping scheme in the sight of BLE receiver with little modification to accomplish high throughput and robustness. Extensive evaluation shows that WiBWi can offer near-optimal throughput (near the maximum throughput of BLE) and extremely low bit error rate (less than 1%).

Wireless Sensor Networks (WSNs) have an extensive range of applications but they have many challenging problems to be addressed. The energy consumption of nodes and the extension of network lifetime are among the core challenges. Energy aware routing is one of the methods to solve the energy problem of WSNs. To achieve the desired network operations the clustering (Hierarchical) routing protocols showed remarkable and outstanding improvement in prolonging the lifetime of WSNs. More significantly, heterogeneity-aware and threshold-based (application-aware) clustering routing protocols deal with more practical and realistic scenarios. In this paper, we propose a new clustering routing protocol, ZET (Zone and Energy Threshold based Clustering Routing Protocol) that is application-aware and heterogeneity-aware. In the execution environment, ZET distributed algorithm divides the whole network area into multiple zones. After dividing the nodes into multiple zones, ZET will select a cluster-head node with the highest energy-efficiency in each zone. We initially design the ZET for homogeneous network in which initial energy is same for all nodes. Then we introduce the heterogeneity in its execution network. We evaluate the performance of ZET using MATLAB simulations. The results show that ZET has better network life time, stability and throughput compared with existing routing protocols.

This paper proposes an optical broadcast-and-select network architecture with centralized multi-carrier light source (C-MCLS). A large number of optical carriers/wavelengths generated by C-MCLS are distributed to all edge nodes (ENs), which select and modulate wavelengths to realize transmission. To utilize wavelength resources efficiently, we introduce a framework of wavelength allocation and selection (WAS). Wavelength allocation is performed at a wavelength control server, while wavelength selection is done at each EN according to wavelength allocation results. Both static and dynamic schemes are adopted for WAS and their implementations are shown. By using fixed or tunable band pass filter and periodical arrayed waveguide grating demultiplexer, wavelengths are selected and utilized by ENs in a static or dynamic manner. We evaluate network cost and performance of the proposed network. Cost analysis and numerical results show that it offers greatly reduced cost compared to the conventional one when the number of required access wavelengths at EN becomes large. We delineate its applicable areas through cost comparisons. Blocking probabilities of static and dynamic schemes are analyzed to evaluate network performance. Numerical results show that by choosing appropriate design parameters, the dynamic scheme offers about 25% increase in admissible offered load under the specified blocking probability, compared to the static scheme. This indicates that the dynamic scheme makes the proposed network more robust against traffic fluctuations.