Internet Of Things Data Transmission Research Articles

V-BAG: A virtual bandwidth aggregation scheme for Internet of Things data

In order to meet the two crucial requirements of Internet of Things (support of a large number of Internet of Things devices and low power consumption), this article proposes a novel and efficient virtual bandwidth aggregation scheme for Internet of Things data. Since many Internet of Things applications require reliable Internet of Things data transmission, a Transmission Control Protocol is chosen as a transport protocol in this article. The proposed scheme consists of three salient functions: packet scheduler, estimator, and ACK buffer. The packet scheduler provides an efficient heterogeneous link selection using the proposed scheduling algorithm. The estimator provides an accurate delay and bandwidth estimation of heterogeneous wireless links using network layer information. Finally, the ACK buffer substantially boosts the performance of the scheduler and estimator with a simple ACK buffering scheme. Our extensive analysis using a numerical method and simulation corroborates the outstanding performance of the proposed scheme. Because of the salient functions of the proposed scheme, it can provide maximum capacity for future Internet of Things data transmission.

ERGID: An efficient routing protocol for emergency response Internet of Things

In recent years, Internet of Things (IoT) has been applied to many different fields such as smart home, environmental monitoring and industrial control system, etc. Under the pressure of the continuous expansion of network scale, how to ensure the real-time emergency response ability during data transmission has become a challenging problem for researchers. In this paper, we propose a routing protocol for Emergency Response IoT based on Global Information Decision (ERGID) to improve the performances of reliable data transmission and efficient emergency response in IoT. Specifically, we design and realize a mechanism called Delay Iterative Method (DIM), which is based on delay estimation, to solve the problem of ignoring valid paths. Moreover, a forwarding strategy called Residual Energy Probability Choice (REPC) is proposed to balance the load of network by focusing on the residual energy of node. Simulation results and analysis show that ERGID outperforms EA-SPEED and SPEED in terms of end to end (E2E) delay, packet loss and energy consumption. Additionally, we also carry out some practical experiments with STM32W108 sensor nodes, and observe that ERGID can improve the real-time response ability of network.

Optimal Energy Strategy for Node Selection and Data Relay in WSN-based IoT

Datacollection and dissemination in wireless sensor networks (WSN) for Internet of Things (IoT) require stable multi-hop networking path from source to sink. However, due to the limited energy capacity, relay nodes that run out of battery may cause disconnected path and result in failure of end-to-end data transmission in WSN-based IoT. Therefore, besides saving energy in itself, each sensor involved in the multi-hop transmission activity also needs a feasible strategy to select the relay nodes by leveraging their residual energy and multi-hop IoT network connectivity. In this paper, we first analyze energy consumption model and data relay model in WSN-based IoT, and then propose the concept of "equivalent node" to select relay node for optimal data transmission and energy conservation. A probabilistic dissemination algorithm, called ENS_PD, is designed to choose the optimal energy strategy and prolong the lifetime of whole network. Extensive simulation and real testbed results show that our models and algorithms can minimize energy consumption while guarantee the quality of communication in WSN-based IoT in comparison with other methods.

Research on a Mobile-aware Service Model in the Internet of Things

Collaborative awareness between persons with various smart multimedia devices is a new trend in the Internet of Things (IoT). Because of the mobility, randomness, and complexity of persons, it is difficult to achieve complete data awareness and data transmission in IoT. Therefore, research must be conducted on mobile-aware service models. In this work, we first discuss and quantify the social relationships of mobile nodes from multiple perspectives based on a summary of social characteristics. We then define various decision factors (DFs). Next, we construct a directed and weighted community by analyzing the activity patterns of mobile nodes. Finally, a mobile-aware service routing algorithm (MSRA) is proposed to determine appropriate service nodes through a trusted chain and optimal path tree. The simulation results indicate that the model has superior dynamic adaptability and service discovery efficiency compared to the existing models. The mobile-aware service model could be used to improve date acquisition techniques and the quality of mobile-aware service in the IoT.