Applying location estimation for reliable routing in tactical unmanned ground vehicle networks

Thulasiraman, Preetha; Clark, Grace; Beach, Timothy M.

doi:10.1007/s12083-016-0463-2

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Assuming that the vehicle network communication in the model adopts the DSRCs standard, the maximum communication distance is 300m. When the distance between vehicles exceeds 300m, the communication link is immediately interrupted [21], [22]. In the model, the shaded area indicates the overlap area between the sensor sensing range of the vehicle.…”

Section: Vehicle Network Communication Modelmentioning

confidence: 99%

A Vehicle Mobile Internet of Things Coverage Enhancement Algorithm Based on Communication Duration Probability Analysis

Zhang

Pan

et al. 2019

IEEE Access

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Vehicle mobile Internet of Things uses sensor technology, mobile Internet technology, and intelligent computing technology to effectively monitor and provide comprehensive services for vehicle operation status. It is an important part of building a smart city, making urban transportation more efficient, environmentally friendly, intelligent, and safety. In the vehicle mobile Internet of Things, when in-vehicle sensors are in communication with each other, they are often affected by factors, such as network mobility, transmission range, and signal interference. Therefore, in order to ensure the continuity of communication between nodes and improve the quality of network communication, this paper proposes a vehicle mobile Internet of Things coverage enhancement algorithm (PANM). First, we derive the probabilistic analysis model of communication duration by analyzing the functional relationship of vehicle initial velocity, acceleration, spacing distance, and communication duration. Then, under the premise of ensuring the communication duration, in order to improve the coverage of the vehicle mobile Internet of Things, the network overlap ratio is introduced in the probability analysis model. Finally, we improve the network coverage performance of omnidirectional radiation and fan-shaped radiation communication models of vehicle mobile Internet of Things by limiting the overlap ratio threshold. The experimental simulation results indicate that the PANM algorithm can reduce the packet loss rate of the vehicle network and have a shorter communication delay.INDEX TERMS Vehicle mobile Internet of Things, communication duration, probability analysis, overlap ratio, network coverage enhancement algorithm. I. INTRODUCTIONCyber Physics System (CPS) is a multi-dimensional complex system integrating computing, network and physical environment. Vehicle mobile internet of things as one of the main research fields of CPS, has received the attention of many researchers in recent years. VMIT (Vehicle Mobile Internet of Things) is an overlay network established by a vehicle equipped with a remote communication device or a communication device with a certain sensing range [1], [2]. The VMIT can collect the data of the location of the vehicle and its surroundings and transmit the data to other vehicles, The associate editor coordinating the review of this manuscript and approving it for publication was Chunsheng Zhu.

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Section: Vehicle Network Communication Modelmentioning

confidence: 99%