Design and Development of Energy Efficient Algorithm for Smart Beekeeping Device to Device Communication Based on Data Aggregation Techniques

• Published in: Algorithms 2023-08, Vol.16 (8), p.367
• Main Authors: Ntawuzumunsi, Elias, Kumaran, Santhi, Sibomana, Louis, Mtonga, Kambombo
• Format: Article
• Language: English
• Subjects: 5G mobile communication; 5G system; Algorithms; Analysis; Batteries; Beekeeping; Bees; Crop yield; Data integration; Data management; Data transmission; device-to-device communication; Energy conservation; Energy consumption; Energy efficiency; Energy management systems; Energy use; Food supply; Insects; Methods; performance metrics; Power management; Quality of service; Reduction; smart beekeeping
• ISSN: 1999-4893; 1999-4893
• DOI: 10.3390/a16080367

Bees, like other insects, indirectly contribute to job creation, food security, and poverty reduction. However, across many parts of the world, bee populations are in decline, affecting crop yields due to reduced pollination and ultimately impacting human nutrition. Technology holds promise for countering the impacts of human activities and climatic change on bees’ survival and honey production. However, considering that smart beekeeping activities mostly operate in remote areas where the use of grid power is inaccessible and the use of batteries to power is not feasible, there is thus a need for such systems to be energy efficient. This work explores the integration of device-to-device communication with 5G technology as a solution to overcome the energy and throughput concerns in smart beekeeping technology. Mobile-based device-to-device communication facilitates devices to communicate directly without the need of immediate infrastructure. This type of communication offers advantages in terms of delay reduction, increased throughput, and reduced energy consumption. The faster data transmission capabilities and low-power modes of 5G networks would significantly enhance the energy efficiency during the system’s idle or standby states. Additionally, the paper analyzes the application of both the discovery and communication services offered by 5G in device-to-device-based smart bee farming. A novel, energy-efficient algorithm for smart beekeeping was developed using data integration and data scheduling and its performance was compared to existing algorithms. The simulation results demonstrated that the proposed smart beekeeping device-to-device communication with data integration guarantees a good quality of service while enhancing energy efficiency.