Opportunistic Sensor Data Collection with Bluetooth Low Energy

Aguilar, Sergio Ríos; Vidal, Rafael; Gómez, Carles

doi:10.3390/s17010159

Cited by 60 publications

(62 citation statements)

References 20 publications

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“…Aguilar et al [13] analyzed the performance of both connection-based and connectionless BLE communication for opportunistic data collection from sensors. For connected mode, they assumed that there are only two BLE devices in the network so there was no need for the central device to switch between the end-devices.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, there are some aspects that suggest that connectionless BLE, when compared to WiFi, ZigBee/IEEE 802.15.4, and even sub-GHz solutions, can be better suited for small-to-medium network size IoT applications. Firstly, it does not have the scaling issue, which means that theoretically it can effectively communicate data between thousands of devices, and is often proposed as a method for opportunistic data transmission [13,14], monitoring applications [15], and localization systems based on radio signal strength [3,16]. BLE outperforms other 2.4 GHz technologies in terms of energy costs, throughput, and latency [7,17].…”

Section: Introductionmentioning

confidence: 99%

“…Taking the above into account, real-life evaluation of connectionless BLE communication becomes important, especially since the results presented in the literature are mainly based on simulations and theoretical analyses addressing device discovery latency (e.g., [11,12]), the coexistence of a small number of devices [20], and energy efficiency [5,10,13,21,22]. The contribution of this paper includes the following:…”

Section: Introductionmentioning

confidence: 99%

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Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

Nikodem

Bawiec

2019

Sensors

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This paper addresses the efficiency of Bluetooth Low Energy (BLE) communication in a network composed of a large number of tags that transmit information to a single hub using advertisement mode. Theoretical results show that the use of advertisements enables hundreds and thousands of BLE devices to coexist in the same area and at the same time effectively transmit messages. Together with other properties (low power consumption, medium communication range, capability to detect a signal’s angle-of-arrival, etc.), this makes BLE a competing technology for the Internet of Things (IoT) applications. However, as the number of communicating devices increases, the advertisement collision intensifies and the communication performance of BLE drops. This phenomena was so far analyzed theoretically, in simulations and in small-scale experiments, but large-scale experiments are not presented in the literature. This paper complements previous results and presents an experimental evaluation of a real IoT-use case, which is the deployment of over 200 tags communicating using advertisements. We evaluate the impact of the number of advertisements on the effective data reception rate and throughput. Despite the advertisement collision rate in our experiment varying between 0.22 and 0.33, we show that BLE, thanks to the multiple transmission of advertisements, can still ensure acceptable data reception rates and fulfill the requirements of a wide range of IoT applications.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

Nikodem

Bawiec

2019

Sensors

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“…The BLE is relatively new technology that is very energy efficient compared to normal Bluetooth operation [14]. The communication mechanism and blood pressure measurement procedure follow certain steps, which are discussed here.…”

Section: Sensor Communicationmentioning

confidence: 99%

A Preference-Based Application Framework for Resource-Bounded Context-Aware Agents

Uddin

Rakib

2017

Mobile and Wireless Technologies 2017

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Abstract. Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. One of the main challenges of context-aware distributed mobile computing is the dynamic adaptation to changes in the resource-bounded operating environment with user preferences. For example, a depersonalized context-aware application may exhibit behavior that is not anticipated by its user in a given situation. In this paper, we present a personalized preference model for resource-bounded context-aware applications, which provides support for the development and execution of context-aware applications using a declarative language. We implement a simple example system that demonstrates the effectiveness of the approach in a real-world scenario.

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“…Wireless sensor networks (WSNs) which are composed of inexpensive microprocessors, with the ability of wireless communication, computing, storage and sensing the surrounding environment [1,2,3,4,5], are emerging as promising platforms that enable a wide range of applications in numerous application areas such as smart cities [6], traffic monitoring [7], automation control in factories [8,9], monitoring public facilities, the environment, or weather [10,11,12,13], human health monitoring [14], wildlife protection, military applications and so on [15,16,17,18]. With the development of micro-processing technology, sensor nodes are becoming more and more powerful, while their volume is getting smaller and smaller, the price is getting lower and lower, and their application prospects are becoming more and more widespread [19,20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

Liu

et al. 2018

Sensors

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Due to the Software Defined Network (SDN) technology, Wireless Sensor Networks (WSNs) are getting wider application prospects for sensor nodes that can get new functions after updating program codes. The issue of disseminating program codes to every node in the network with minimum delay and energy consumption have been formulated and investigated in the literature. The minimum-transmission broadcast (MTB) problem, which aims to reduce broadcast redundancy, has been well studied in WSNs where the broadcast radius is assumed to be fixed in the whole network. In this paper, an Adaption Broadcast Radius-based Code Dissemination (ABRCD) scheme is proposed to reduce delay and improve energy efficiency in duty cycle-based WSNs. In the ABCRD scheme, a larger broadcast radius is set in areas with more energy left, generating more optimized performance than previous schemes. Thus: (1) with a larger broadcast radius, program codes can reach the edge of network from the source in fewer hops, decreasing the number of broadcasts and at the same time, delay. (2) As the ABRCD scheme adopts a larger broadcast radius for some nodes, program codes can be transmitted to more nodes in one broadcast transmission, diminishing the number of broadcasts. (3) The larger radius in the ABRCD scheme causes more energy consumption of some transmitting nodes, but radius enlarging is only conducted in areas with an energy surplus, and energy consumption in the hot-spots can be reduced instead due to some nodes transmitting data directly to sink without forwarding by nodes in the original hot-spot, thus energy consumption can almost reach a balance and network lifetime can be prolonged. The proposed ABRCD scheme first assigns a broadcast radius, which doesn’t affect the network lifetime, to nodes having different distance to the code source, then provides an algorithm to construct a broadcast backbone. In the end, a comprehensive performance analysis and simulation result shows that the proposed ABRCD scheme shows better performance in different broadcast situations. Compared to previous schemes, the transmission delay is reduced by 41.11~78.42%, the number of broadcasts is reduced by 36.18~94.27% and the energy utilization ratio is improved up to 583.42%, while the network lifetime can be prolonged up to 274.99%.

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Opportunistic Sensor Data Collection with Bluetooth Low Energy

Cited by 60 publications

References 20 publications

Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

A Preference-Based Application Framework for Resource-Bounded Context-Aware Agents

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

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