Journals
And Conferences
DASA:
An Efficient Data Aggregation Algorithm for LoRa Enabled Fog Layer in Smart Agriculture
In a smart agriculture system many resource-constrained sensors are installed near the crops as well as at some strategic locations in an agriculture field to collect relevant crop and environment data in real-time. This data is then used for both critical latency-sensitive decision making as well as for long-term planning. Nowadays, .....
On Reducing Data Transmissions in Fog-Enabled LoRa-Based Smart Agriculture
Real data plays a fundamental role in determining various features related to the collection site, such as monitoring, controlling, predictions, etc. Several systems in the Internet of Things (IoT) environment produce millions of data from the sensing node, and transmitting each of the data is costly in terms of bandwidth requirements, energy consumption, and protecting data from being corrupt or......
Intelligent Data Forwarding Scheme for LoRa based Fog Enabled Smart Agriculture
Nowadays, Internet of Things (IoT) technologies are very useful to transform traditional farming practices into smart farming across the globe. Since most of the agricultural land is located in remote places, there is a need for new technologies for making them smart. For smart farming, low-cost, and resource-constraint sensors are placed across the agricultural field. To provide continuous connectivity for data communication, there must be a suitable and reliable transmission over long distances and, at the same time, should consume less energy. In particular, Long Range (LoRa), .......