Abstract
Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its widespread presence in smartphones, wearables and other consumer electronics devices. This fact can be leveraged to carry out opportunistic sensor data collection (OSDC) in scenarios where a sensor node cannot communicate with infrastructure nodes. In such cases, a mobile entity (e.g., a pedestrian or a vehicle) equipped with a BLE-enabled device can collect the data obtained by the sensor node when both are within direct communication range. In this paper, we characterize, both analytically and experimentally, the performance and trade-offs of BLE as a technology for OSDC, for the two main identified approaches, and considering the impact of its most crucial configuration parameters. Results show that a BLE sensor node running on a coin cell battery can achieve a lifetime beyond one year while transferring around 10 Mbit/day, in realistic OSDC scenarios.
Highlights
Sensor nodes are being deployed worldwide to enable smart environments, whereby resources can be efficiently managed and/or human life quality can be enhanced
Results show that a Bluetooth Low Energy (BLE) sensor node running on a coin cell battery can achieve a lifetime beyond one year while transferring around 10 Mbit/day, in realistic opportunistic sensor data collection (OSDC) scenarios
We model the expected maximum amount of data, denoted E{Ldata_adv }, that the mobile entity entity may collect from the sensor node within a contact interval in the advertisement-based may collect from the sensor node within a contact interval in the advertisement-based approach
Summary
Sensor nodes are being deployed worldwide to enable smart environments, whereby resources can be efficiently managed and/or human life quality can be enhanced. In some scenarios, such as homes or industrial automation, network infrastructure is typically available for the sensor nodes, whenever the latter need to send their obtained data, some device must be ready to receive (and maybe forward) the data [1,2]. Useful mobile entities for OSDC include pedestrians, and vehicles such as public buses or even drones. Such mobile entities may approach an isolated sensor node on purpose (e.g., an agriculturist intentionally walking, or flying a drone, close to the sensor node location) or due to the path they naturally follow (e.g., the daily route to work for a pedestrian or the scheduled route of a public bus)
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