Beacon signals: what, why, how, and where?

Gerasenko, S.; Joshi, Ashwini; Rayaprolu, S.; Ponnavaikko, K.; Agrawal, Dharma P.

doi:10.1109/2.955103

Cited by 20 publications

(13 citation statements)

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“…Beacons based payment system is also a hot research topic nowadays. More details of beacons are available in [8].…”

Section: A Beacons (Bluethooth Proximity Device)mentioning

confidence: 99%

Smart Toll Collection System for Bangladesh

Uddin¹

2019

IJCDS

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This paper focuses on a smart toll collection (STCS) system based on non-contact BLE (Bluetooth low energy) technology specially designed for Bangladesh. A lots of river bridges, flyovers and Asian highways passes all over the Bangladesh. Governments need to collect the toll (a charge payable to use a bridge or road) from drivers/passengers who are using those bridges, flyovers and highways, for further development of the country. Two types of toll collection system, such as manual and computerized, exits in Bangladesh. Both system requires human operator for toll collection, which is more or less time consuming process. With this respect, a smart (fully automated) toll collection system is proposed throughout this paper. The conceptual design along with prototype implementation are elaborated in this paper.

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“…Beacons based payment system is also a hot research topic nowadays. More details of beacons are available in [8].…”

Section: A Beacons (Bluethooth Proximity Device)mentioning

confidence: 99%

Smart Toll Collection System for Bangladesh

Uddin¹

2019

IJCDS

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“…The downlink transmission capacity of each network, n ∈ N , BS/AP, s ∈ S n , is C ns Mbps. Each BS/AP broadcasts an identification (ID) beacon which is used in the MT attachment procedure [8]. It is assumed that different networks are already connected through a backbone to exchange their roaming signaling information.…”

Section: A Wireless Access Networkmentioning

confidence: 99%

Cooperative Decentralized Resource Allocation in Heterogeneous Wireless Access Medium

Ismail

Abdrabou

Zhuang

2013

IEEE Trans. Wireless Commun.

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Abstract-In this paper, radio resource allocation in a heterogeneous wireless access medium is investigated. Mobile terminals (MTs) are equipped with multiple radio interfaces and are assumed to have multi-homing capabilities. A novel algorithm, namely prediction based resource allocation algorithm, is proposed for the resource allocation. Unlike the existing solutions in literature, the proposed algorithm does not require a central resource manager to perform the radio resource allocation. The MT plays an active role in the resource allocation operation by requesting a bandwidth share from each available network based on the available resources at the network, such that the total allocated bandwidth from different networks satisfies the MT service requirement. The proposed algorithm is suitable for implementation in a dynamic environment with call arrivals and departures, and relies on network cooperation to perform the decentralized radio resource allocation in an efficient manner. Simulation results are presented to investigate the performance tradeoffs of the proposed algorithm.

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“…We also assume the AP continuously sends out stable beacon signals that could be received by the mobile. Beacon signals are critical for the mobile to synchronize and coordinate with the AP, and they usually carry critical parameters such as power‐supply information, location, time stamp, SS, available bandwidth resources, and temperature 8. In this paper, we explore the SS associated with beacons from the AP for localization.…”

Section: Freemobility Fundamentalsmentioning

confidence: 99%

FreeMobility: dynamic location computing using GIS

Sproul

2013

Wireless Communications

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This paper presents the design, implementation and evaluation of the FreeMobility localization system-a distributed system that allows access points (APs) or cellular towers to dynamically determine the location of a mobile user using only received signal strength (SS) and mobility information (direction and traveled distance) from the mobile. FreeMobility does not require special infrastructure or installation, and it is readily applicable to commodity devices like laptops, PDAs and cell phones using existing Wi-Fi and/or cellular networks. This paper introduces mathematical methodology that dynamically predicts the location of the mobile; the paper also presents detailed analysis and experimental results that explore practical issues in implementing the system. FreeMobility was evaluated using:(1) measurements from IEEE 802.11 networks at both the University of South Carolina, Beaufort (USC Beaufort) and a residential neighborhood in Columbia, SC; and (2) online data resources from war-driving community and other research communities. The results demonstrate that FreeMobility provides reliable location estimates, and the localization error is comparable with other existing systems. With the assistance of the geographic information system (GIS), FreeMobility does not require dense tower deployment, and it is able to provide location attributes in addition to pure coordinates from most other systems.

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Beacon signals: what, why, how, and where?

Abstract: Beacon signals are an integral part of various new applications, including all wireless systems.

Cited by 20 publications

References 0 publications

Smart Toll Collection System for Bangladesh

Smart Toll Collection System for Bangladesh

Cooperative Decentralized Resource Allocation in Heterogeneous Wireless Access Medium

FreeMobility: dynamic location computing using GIS

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