Energy efficient network localisation using hybrid TOA/AOA measurements

Yuan, Peng; Zhang, Tingting; Yang, Nan; Xu, Huining; Zhang, Qinyu

doi:10.1049/iet-com.2018.5419

Cited by 12 publications

(6 citation statements)

References 36 publications

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“…The conditional independence of the observations adequately represents the behavior of actual measurements obtained by sensors that are spatially scattered or by sensors belonging to different technologies. Examples of multimodal measurements are those associated with different types of amplitude-, time-, and angle-related features [14].…”

Section: Data Fusion In Heterogenous Networkmentioning

confidence: 99%

Location Awareness in Beyond 5G Networks

et al. 2021

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Location awareness is essential for enabling contextual services and for improving network management in 5th generation (5G) and beyond 5G (B5G) networks. This paper provides an overview of the expanding opportunities offered by location awareness in wireless networks, discusses soft information (SI)-based approaches for improved location awareness, and presents case studies in conformity to the 3rd Generation Partnership Project (3GPP) standardization by the European Telecommunications Standards Institute (ETSI). Results show that SI-based approaches can provide a new level of location awareness in 5G and B5G networks.

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Section: Data Fusion In Heterogenous Networkmentioning

confidence: 99%

Location Awareness in Beyond 5G Networks

et al. 2021

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“…e first stage determines whether the second ECN will unload the calculation task to AECN for calculation and, if it needs to unload, which AECN should be unloaded to. In the second stage, it is judged whether AECN should continue to unload computing tasks to the cloud [22]. Finally, the unloading choice of each terminal n in the comprehensive decision set does not change, reaching Nash equilibrium and completing the optimal unloading decision.…”

Section: Edge Algorithm Of Cultural Community Servicementioning

confidence: 99%

Construction of Rural Cultural Service System Based on Mobile Information System

Zhu

2021

Mobile Information Systems

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At present, the development of rural culture is gradually rising. Under the promotion of the sense of freedom and democracy, mobile information system also plays an important role in rural cultural services. This paper uses edge algorithm to build mobile information system, combined with rural cultural service elements, to carry out information construction for the people’s needs of tourism, information, and belief culture in the development of rural China. In this paper, with the county or township service projects as the research content and 200 residents of a community as the research object, using the way of questionnaire to survey the respondents, online questionnaire feedback results received 186, the effective rate of 93%. This paper investigates the project support of mobile information system for rural cultural services and the satisfaction degree of residents’ demand for various cultural resources. Research shows that the rural cultural service system based on mobile information system can improve the scope of cultural services. From the survey results, 65.53% of the people think that the cultural service system can reduce people's dependence on special cultural services, so as to obtain resources from the diversified information service system. 35.63% of the people said that the efficiency of cultural service system could be improved by more than 50% compared to that of offline cultural service. Others said that the rural cultural service system could basically meet their living needs. Therefore, whether from the perspective of cultural service or information system, the current rural cultural service mode and service process need to be constructed from the perspective of cultural service supply system reform.

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“…Besides, since the underwater channel has the features of low communication channel bandwidth, serious multipath effect, and variable acoustic velocity [24], it is necessary to improve the localization performance using the hybrid localization method. Plenty of hybrid target location methods are implemented based on different combinations of mixed measurements, e.g., TDOA-RSS, AOA-TOA, and RSS-AOA [22,23,[25][26][27][28]. The authors derived the CRLB for the hybrid method using both AOA and TOA estimates in [25].…”

Section: Introductionmentioning

confidence: 99%

Sensor Selection for Hybrid AOA-TOA Localization with Correlated Measurement Noise in Underwater Wireless Sensor Networks

Zhou

Chen

Tan

et al. 2022

Wireless Communications and Mobile Computing

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Underwater target localization is the most crucial part of the underwater wireless sensor network (UWSN). Due to limited communication range and energy constraints in underwater scenarios, only a subset of sensors can be selected to localize. This paper investigates the sensor selection schemes for hybrid angle-of-arrival (AOA) and time-of-arrival (TOA) localization in the underwater scenario. We first develop the Cramér-Rao lower bound (CRLB) for the hybrid AOA-TOA localization with correlated measurement noise model with Gaussian priors, and a Boolean vector is introduced to denote the selected sensors for hybrid measurement. Secondly, the sensor selection schemes are formulated as an optimization problem, and the optimality criterion is to minimize the trace of CRLB. The original nonconvex problem has been modified to the semidefinite problem program (SDP) by convex relaxation, and then, a randomization algorithm is chosen to advance the result of the SDP method. Finally, simulations verify that the proposed algorithm approaches the exhaustive search algorithm, and the effect of correlated measurement noise on the estimation performance in the hybrid localization system is proved.

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Energy efficient network localisation using hybrid TOA/AOA measurements

Cited by 12 publications

References 36 publications

Location Awareness in Beyond 5G Networks

Location Awareness in Beyond 5G Networks

Construction of Rural Cultural Service System Based on Mobile Information System

Sensor Selection for Hybrid AOA-TOA Localization with Correlated Measurement Noise in Underwater Wireless Sensor Networks

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