scholarly journals Bluetooth Low Energy Wireless Sensor Network Library in MATLAB Simulink

2020 ◽  
Vol 9 (3) ◽  
pp. 38
Author(s):  
Rolands Shavelis ◽  
Kaspars Ozols
Keyword(s):  
Data Exchange ◽  
Transmission Rate ◽  
Packet Transmission ◽  
Data Packet ◽  
Low Energy ◽  
Wireless Sensor ◽  
Channel Noise ◽  
Bluetooth Low Energy ◽  
Matlab Simulink ◽  
High Data

The paper describes the elements of the developed MATLAB Simulink library for building the models of Bluetooth Low Energy (BLE) wireless sensor networks to simulate the communication between BLE devices in the presence of interference and channel noise. Various parameters can be configured for the devices including their 2D positions to take into account the distances between them for calculating the attenuation coefficients of the transmitted signals. Two simulation examples are provided, one of which demonstrates the data exchange between one master device and one slave at high data packet transmission rate (2 kHz), while the other example shows the data exchange between one master and multiple slaves simultaneously, in which case the data packet transmission rate can be no larger than 133 Hz.

scholarly journals Mitigation of Data Packet Loss in Bluetooth Low Energy-Based Wearable Healthcare Ecosystem

Biosensors ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 350
Author(s):  
Vishal Varun Tipparaju ◽  
Kyle R. Mallires ◽  
Di Wang ◽  
Francis Tsow ◽  
Xiaojun Xian
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Packet Transmission ◽  
Data Packet ◽  
Low Energy ◽  
Transmission Protocol ◽  
Data Loss ◽  
Packet Losses ◽  
Transmission Frequency ◽  
Bluetooth Low Energy

Bluetooth Low Energy (BLE) plays a critical role in wireless data transmission in wearable technologies. The previous work in this field has mostly focused on optimizing the transmission throughput and power consumption. However, not much work has been reported on a systematic evaluation of the data packet loss of BLE in the wearable healthcare ecosystem, which is essential for reliable and secure data transmission. Considering that diverse wearable devices are used as peripherals and off-the-shelf smartphones (Android, iPhone) or Raspberry Pi with various chipsets and operating systems (OS) as hubs in the wearable ecosystem, there is an urgent need to understand the factors that influence data loss in BLE and develop a mitigation solution to address the data loss issue. In this work, we have systematically evaluated packet losses in Android and iOS based wearable ecosystems and proposed a reduced transmission frequency and data bundling strategy along with queue-based packet transmission protocol to mitigate data packet loss in BLE. The proposed protocol provides flexibility to the peripheral device to work with the host either in real-time mode for timely data transmission or offline mode for accumulated data transmission when there is a request from the host. The test results show that lowered transmission frequency and data bundling reduce the packet losses to less than 1%. The queue-based packet transmission protocol eliminates any remaining packet loss by using re-request routines. The data loss mitigation protocol developed in this research can be widely applied to the BLE-based wearable ecosystem for various applications, such as body sensor networks (BSN), the Internet of Things (IoT), and smart homes.

scholarly journals Adaptive Coding in Control of Two Satellites Relative Motion Over the Packet Erasure Communication Channel

2020 ◽  
Author(s):  
Boris Andrievsky ◽  
Alexander Fradkov ◽  
Elena Kudryashova
Keyword(s):  
Data Transmission ◽  
Data Exchange ◽  
Communication Channel ◽  
Transmission Rate ◽  
Control Law ◽  
Data Transmission Rate ◽  
High Data ◽  
Navigation Data ◽  
Binary Coding

The paper is focused on the navigation data exchange between two satellites moved in a swarm. The feedback control law is designed ensuring regulation of the relative satellites motion. The adaptive binary coding/decoding procedure for data transmission over the limited capacity communication channel is proposed and studied for the cases of ideal and erasure channel. Dependence of the regulation time on the data transmission rate is numerically found. The results obtained provides dependence of the required load of the communication channel on the desired quality of the stabilization process. It is demonstrated that for significantly high data transmission rate erasure of data in the channel with probability up to 0.3 does not make an effect on the regulation time.

scholarly journals Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications

2019 ◽  
Vol 15 (4) ◽  
pp. 79-90
Author(s):  
Ahmed A. Salman ◽  
Zainab T. Alisa
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Clustering Algorithm ◽  
Smart Cities ◽  
Base Station ◽  
Packet Transmission ◽  
Low Energy ◽  
Wireless Sensor ◽  
Clustering Model

Mobile Wireless sensor networks have acquired a great interest recently due to their capability to provide good solutions and low-priced in multiple fields. Internet of Things (IoT) connects different technologies such as sensing, communication, networking, and cloud computing. It can be used in monitoring, health care and smart cities. The most suitable infrastructure for IoT application is wireless sensor networks. One of the main defiance of WSNs is the power limitation of the sensor node. Clustering model is an actual way to eliminate the inspired power during the transmission of the sensed data to a central point called a Base Station (BS). In this paper, efficient clustering protocols are offered to prolong network lifetime. A kernel-based fuzzy C-means clustering algorithm (KFCM) is adopted to cluster sensor nodes, while a cluster head (CH) is selected for each cluster based on a fuzzy logic system. Results depicts that the new work performs better than the existing algorithms (as Low Energy Adaptive Cluster Hierarchy-Mobile (LEACH-M) and Low Energy Adaptive Cluster Hierarchy-Mobile Enhancement (LEACH-ME)) in terms of network lifetime, energy consumption, packet transmission and stability period.  

Protecting Location Privacy against Traffic Analysis in Wireless Sensor Networks with LEACH Routing Protocol

2014 ◽  
Vol 513-517 ◽  
pp. 1233-1240
Author(s):  
Yu Mei Wang ◽  
Xun Xue Cui ◽  
Xi Hui Fan
Keyword(s):  
Routing Protocol ◽  
Hot Spots ◽  
Location Privacy ◽  
Traffic Analysis ◽  
Base Station ◽  
Packet Transmission ◽  
Wireless Sensor ◽  
Traffic Pattern ◽  
Analysis Techniques ◽  
High Data

Traffic analysis attacks are always adopted to threaten the safety of base station in a wireless sensor network (WSN) which uses LEACH routing protocol. Typical packet traffic in such a network may expose the pronounced patterns which would allow an adversary analyzing traffic to deduce the location of base station. The paper proposes two defending algorithms based on LEACH routing protocol to deal with these traffic analysis techniques and conceal the true traffic pattern. First, a Random Hot Spots Algorithm (RHSA) has been developed to randomly construct several communication areas with fake local high data to protect the base station of a WSN. Secondly, an Anonymous Communication Algorithm (ACA) is proposed to hide identities of all nodes that participate in the process of packet transmission by generating pseudonyms dynamically. Simulation results show that RHSA and ACA can effectively deceive and misdirect the adversary, and protect the location of a base station against attacks.

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