Leveraging BLE and LoRa in IoT network for wildlife monitoring system (WMS)

Ayele, Eyuel D.; Das, Kallol; Meratnia, Nirvana; Havinga, Paul J.M.

doi:10.1109/wf-iot.2018.8355223

Cited by 45 publications

(61 citation statements)

References 17 publications

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“…The majority of studied papers, especially those where mobile phones were used, also harnessed GPS sensing for acquiring exact user location. Moreover, ultrasonic water sensors [14], pollution sensors [10] infrared (IR) cameras [15], temperature, humidity and pressure sensors [16], geo-cubes, meteorological and hydrological sensors [17], buoy, pressure and water column heights sensors [18], as well as 3D accelerometer and gyroscope sensors and animal collar tags [19], [20] have been recorded.…”

Section: Iot Devices and Sensorsmentioning

confidence: 99%

“…Not many papers revealed information whether the IoT devices were placed for long-term or only temporarily in order to get some measurements or perform sampling. Long-term sensor deployment was observed in water monitoring systems [14], in air quality monitoring [16], in monitoring landslide displacements [17] (using low-power 10-Watt solar panels), in deep-ocean tsunami measuring [18] (battery-powered with four-year lifetime), in weather monitoring stations [29] and in wildlife monitoring [20]. Long-term deployments were provisioned where sensor replacement was expensive or difficult.…”

Section: Disposable Vs Long-term Iot Sensorsmentioning

confidence: 99%

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Geospatial Analysis and the Internet of Things

Kamilaris

Ostermann

2018

IJGI

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Geospatial analysis offers large potential for better understanding, modelling and visualizing our natural and artificial ecosystems, using Internet of Things as a pervasive sensing infrastructure. This paper performs a review of research work based on the IoT, in which geospatial analysis has been employed in environmental informatics. Six different geospatial analysis methods have been identified, presented together with 26 relevant IoT initiatives adopting some of these techniques. Analysis is performed in relation to the type of IoT devices used, their deployment status and data transmission standards, data types employed, and reliability of measurements. This paper scratches the surface of this combination of technologies and techniques, providing indications of how IoT, together with geospatial analysis, are currently being used in the domain of environmental research. IntroductionThe Internet of Things (IoT) includes technologies and research disciplines that enable the Internet to reach out into the real world of physical objects [1]. The vision of IoT involves seamless integration of physical devices to the internet/web, by means of well-understood, accepted and used protocols, technologies and programming/description languages, for efficient human-to-machine or machine-to-machine communication [2]. Internet-enabled things are equipped with sensors, measuring the physical world and its phenomena such as temperature, humidity, radiation, electromagnetism, noise, chemicals etc. Moreover, the rise of multi-sensory mobile phones offers advanced sensing capabilities, such as measuring proximity, acceleration and location, recording audio/noise, sensing electromagnetism or capturing images and videos [3]. An important characteristic of the measurements performed by Internet-enabled things (i.e. sensors, mobile phones, cameras etc.) is the geo-location where each measurement was done. As the physical or artificial environments are generally quite complex, being characterized by a wide variety of parameters, a rich collection of measurements in space and time is necessary in order to model and understand these ecosystems [4]. Hence, sensory-based IoT information needs to be aggregated, stored and analyzed for more elaborate and holistic reasoning and inference. To exploit this variety of IoT measurements in type, space and time, geospatial analysis is used in order to provide high-quality analytics and insights [5].The contribution of this paper is to survey IoT applications that employ analytic operations that focus on location, examining the various geospatial analysis techniques employed. It is noted that we refer to the IoT as used in environmental informatics, i.e. sensing equipment and measurement systems recording

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Section: Iot Devices and Sensorsmentioning

confidence: 99%

Section: Disposable Vs Long-term Iot Sensorsmentioning

confidence: 99%

Geospatial Analysis and the Internet of Things

Kamilaris

Ostermann

2018

IJGI

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“…Reducing the required energy consumption remains an important objective for IoT devices. Ayele et al (2018) proposed a dual radio approach for wildlife monitoring systems. They combine Bluetooth low energy for intraherd monitoring with LoRa for low-power wide-area networks to communicate between herd clusters and a monitoring server.…”

Section: Case Studies On Smart Scenariosmentioning

confidence: 99%

Internet of Things

Granell

Kamilaris

Kotsev

et al. 2019

Manual of Digital Earth

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Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things (IoT) emerged as a holistic proposal to enable an ecosystem of varied, heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today's pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth. Keywords Internet of Things • Geospatial standards • Smart scenarios The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission.

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“…The movement behavior of wild animals often show a sparse and con-species (clustered) movement behavior. This behavior results in frequent change in the network topology, which gives rise to challenges in peer-to-peer network connectivity and energy management [3]. Wildlife monitoring systems (WMS) need to monitor the animal herd physiological activities in real-time as well as to provide network services such as localization, proximity detection, data pre-processing, and cluster nodes management.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper we present an asynchronous dual radio opportunistic beacon network for wild-life monitoring system (WMS). Our proposed opportunistic beacon network leverages a high data rate BLE radio in a low power long range Lo-RaWAN network [3]. Since utilizing LoRaWAN for long range data relaying, introduces a 1% duty-cycle communication restriction, which impacts the real-time latency requirement.…”

Section: Introductionmentioning

confidence: 99%

An Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System

Ayele

Meratnia

Havinga

2019

2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

Self Cite

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Currently there are several technologies such as opportunistic wireless sensor networks deployed to monitor wildlife. Due to network complexity and lack of full connectivity, the collected data is often either saved on internal memory for later off-line data transfer or relayed to sink nodes. In this paper, however, we introduce an asynchronous dual interface opportunistic beacon network for animal monitoring. Unlike conventional opportunistic networks which are based on multi-copy data replication techniques, our approach utilizes an optimized single-copy beacon data transmission to achieve high energy efficiency. Furthermore, the collected data is aggregated and relayed to the central system by leveraging a low power and long range radio to provide high connectivity coverage. This approach will allow to facilitate ultra-low power IoT devices to be deployed for sustainable wildlife monitoring applications. We evaluate the proposed approach in an actual animal movement use-case scenario. The results indicate that the proposed approach outperforms the traditional opportunistic networks in-terms of energy consumption and packet delivery ratio.

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Leveraging BLE and LoRa in IoT network for wildlife monitoring system (WMS)

Cited by 45 publications

References 17 publications

Geospatial Analysis and the Internet of Things

Geospatial Analysis and the Internet of Things

Internet of Things

An Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System

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