Neighbor Discovery in Wireless Network with Double-Face Phased Array Radar

Liu, Ningxin; Peng, Laixian; Xu, Renhui; Zhang, Jin; Zhao, Wei; Zhu, Jun

doi:10.1109/msn.2016.080

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The algorithm applies radar sensing to obtain the location information of neighbors, so as to increase the speed of neighbor discovery. In [107], the efficiency of neighbor discovery was improved using dual phased array radar. [108] proposed a neighbor discovery algorithm based on Joint Radar and Communication (JRC) technique.…”

Section: B Fast Wireless Networkingmentioning

confidence: 99%

Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends

Wei¹,

Meng²,

Lai³

et al. 2021

Preprint

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Unmanned aerial vehicles (UAVs) are widely applied in civil applications, such as disaster relief, agriculture and cargo transportation, etc. With the massive number of UAV flight activities, the anti-collision technologies aiming to avoid the collisions between UAVs and other objects have attracted much attention. The anti-collision technologies are of vital importance to guarantee the survivability and safety of UAVs. In this article, a comprehensive survey on UAV anti-collision technologies is presented. We firstly introduce laws and regulations on UAV safety which prevent collision at the policy level. Then, the process of anti-collision technologies are reviewed from three aspects, i.e., obstacle sensing, collision prediction, and collision avoidance. We provide detailed survey and comparison of the methods of each aspect and analyze their pros and cons. Besides, the future trends on UAV anti-collision technologies are presented from the perspective of fast obstacle sensing and fast wireless networking. Finally, we summarize this article.

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Section: B Fast Wireless Networkingmentioning

confidence: 99%

Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends

Wei¹,

Meng²,

Lai³

et al. 2021

Preprint

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“…In terms of the prior information, Burghal et al in [19] discussed the impact of prior information of the set of neighbors on ND. The distribution and number of neighbors detected by radar can accelerate ND [8], [26], [27]. Vasudevan et al in [25] and Sun et al in [28] both found that the unknown number of neighbors would lead to at most a two-factor deceleration in the rate of ND convergence.…”

Section: B Improvement Of Nd Algorithmmentioning

confidence: 99%

Neighbor Discovery for VANET with Gossip Mechanism and Multi-packet Reception

Wei¹,

Chen²,

Yang³

et al. 2021

Preprint

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Neighbor discovery (ND) is a key initial step of network configuration and prerequisite of vehicular ad hoc network (VANET). However, the convergence efficiency of ND is facing the requirements of multi-vehicle fast networking of VANET with frequent topology changes. This paper proposes gossip-based information dissemination and sensing information assisted ND with MPR (GSIM-ND) algorithm for VANET. GSIM-ND algorithm leverages efficient gossip-based information dissemination in the case of multi-packet reception (MPR). Besides, through multi-target detection function of multiple sensors installed in roadside unit (RSU), RSU can sense the distribution of vehicles and help vehicles to obtain the distribution of their neighbors. Thus, GSIM-ND algorithm leverages the dissemination of sensing information as well. The expected number of discovered neighbors within a given period is theoretically derived and used as the critical metric to evaluate the performance of GSIM-ND algorithm. The expected bounds of the number of time slots when a given number of neighbors needs to be discovered is derived as well. The simulation results verify the correctness of theoretical derivation. It is discovered that GSIM-ND algorithm proposed in this paper can always reach the short-term convergence quickly. Moreover, GSIM-ND algorithm is more efficient and stable compared with completely random algorithm (CRA), scan-based algorithm (SBA) and gossip-based algorithm. The convergence time of GSIM-ND algorithm is 40%-90% lower than that of these existing algorithms for both low density and high density networks. Thus, GSIM-ND can improve the efficiency of ND algorithm.

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“…Li et al [6] proposed a neighbor discovery algorithm called SBA-RA, where the prior information of neighbors obtained from radar is applied to reduce the time of neighbor discovery. Liu et al [7] applied the double-face phased array radar to improve the efficiency of neighbor discovery.…”

Section: Introductionmentioning

confidence: 99%

Radar Assisted Fast Neighbor Discovery for Wireless Ad Hoc Networks

et al. 2019

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In machine-type communication (MTC) consisting high-mobility machines, such as vehicles, aircrafts, robots, etc., there is a strong demand for fast wireless networking. With radars extensively applied in these machines for environment awareness, radar assisted fast neighbor discovery (ND) for wireless ad hoc networks is proposed to realize fast wireless networking for MTC. Four neighbor discovery algorithms are designed according to the accuracy level of prior information provided by radar. Then, the performance of neighbor discovery algorithms is analyzed theoretically. Simulation results are further provided to compare neighbor discovery algorithms with and without the prior information from radar. The results demonstrate that the time consumption of neighbor discovery is greatly reduced with prior information of radar. Moreover, the time consumption with prior information from radar increases with the number of nodes. However, the increasing speed is much slower than the neighbor discovery without prior information from radar. This paper proves the advantages of radar assisted neighbor discovery, which may motivate the study of radar assisted wireless networking schemes in the future.

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Neighbor Discovery in Wireless Network with Double-Face Phased Array Radar

Cited by 7 publications

References 22 publications

Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends

Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends

Neighbor Discovery for VANET with Gossip Mechanism and Multi-packet Reception

Radar Assisted Fast Neighbor Discovery for Wireless Ad Hoc Networks

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