scholarly journals Avaricious crowd sensing for interconnection via the internet of computing mobiles using Bluetooth low energy

2019 ◽  
Vol 2 (11) ◽  
pp. 1-6
Author(s):  
E. E. Ocampo ◽  
Author(s):  
Smita Sanjay Ambarkar ◽  
Rakhi Dattatraya Akhare

This chapter focuses on the comprehensive contents of various applications and principles related to Bluetooth low energy (BLE). The internet of things (IoT) applications like indoor localization, proximity detection problem by using Bluetooth low energy, and enhancing the sales in the commercial market by using BLE have the same database requirement and common implementation idea. The real-world applications are complex and require intensive computation. These computations should take less time, cost, and battery power. The chapter mainly focuses on the usage of BLE beacons for indoor localization. The motive behind the study of BLE devices is that it is supported by mobile smart devices that augment its application exponentially.


2019 ◽  
Vol 292 ◽  
pp. 02003 ◽  
Author(s):  
Mostafa Labib ◽  
Atef Ghalwash ◽  
Sarah Abdulkader ◽  
Mohamed Elgazzar

The Bluetooth Low Energy (BLE) is an attractive solution for implementing low-cost, low power consumption, short-range wireless transmission technology and high flexibility wireless products, which working on standard coin-cell batteries for years. The original design of BLE is restricted to star topology networking, which limits network coverage and scalability. In contrast, other competing technologies like Wi-Fi and ZigBee overcome those constraints by supporting different topologies such as the tree and mesh network topologies. This paper presents a part of the researchers’ efforts in designing solutions to enable BLE mesh networks and implements a tree network topology which is not supported in the standard BLE specifications. In addition, it discusses the advantages and drawbacks of the existing BLE network solutions. During analyzing the existing solutions, we highlight currently open issues such as flooding-based and routing-based solutions to allow end-to-end data transmission in a BLE mesh network and connecting BLE devices to the internet to support the Internet of Things (IoT). The approach proposed in this paper combines the default BLE star topology with the flooding based mesh topology to create a new hybrid network topology. The proposed approach can extend the network coverage without using any routing protocol.


IEEE Network ◽  
2014 ◽  
Vol 28 (6) ◽  
pp. 83-90 ◽  
Author(s):  
Johanna Nieminen ◽  
Carles Gomez ◽  
Markus Isomaki ◽  
Teemu Savolainen ◽  
Basavaraj Patil ◽  
...  

2018 ◽  
Vol 28 (03) ◽  
pp. 1850010
Author(s):  
Joseph Tassone ◽  
Mike Biocchi

Security is a concept which people recognize as important, yet regularly ignore for reasons such as cost or design constraints. The world is quickly shifting towards the wireless with phenomena akin to the Internet of Thing (IoT) accelerating this progression. Technologies like Bluetooth Low Energy and Radio Frequency Identification are greatly entwined with this trend, and research has been made into reinforcing protection methods. However, security is a choice made by the designer and more often than not is given decreased priority. With the improved creativity and sophistication of malicious exploits this is becoming far less acceptable. Theft of data is trivial for a user with the correct skillset and will be successful without proper defences. Further research needs to be done in the field, and encouraging consistent security practices is an appropriate start.


Author(s):  
Tomasz Zieliński

The main purpose of the work was to analyze sensory platform solutions for use on the Internet of Things. Emphasis was placed on the literature study on Sensor Platforms, Internet of Things, Bluetooth Low Energy Communication Protocol, serial digital and analog interfaces most commonly used in sensory platforms. Analysis of sensory platform solutions was carried out in terms of their functionality and efficiency. The SensorTag CC2650 sensing platform by Texas Instruments, turned out to be the best and has been used to build the hub model. The hub model was based on hardware and software implementation, which resulted in the expansion of the sensor platform with 6 additional analog inputs and a Bluetooth Low Energy data transmission profile. Testing the correctness of the software produced in the laboratory environment has made it possible to determine the correct functioning of the concentrator model.


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