The Experts below are selected from a list of 57255 Experts worldwide ranked by ideXlab platform
James D Ellis - One of the best experts on this subject based on the ideXlab platform.
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The discovery of Varroa destructor on Drone honey bees, Apis mellifera, at Drone congregation areas.
Parasitology research, 2018Co-Authors: Ashley N. Mortensen, Cameron J. Jack, James D EllisAbstract:Varroa is an external parasitic mite of honey bees and is a vector of multiple viruses that can severely weaken or cause the failure of western honey bee colonies if untreated. Effective Varroa control is dependent upon a thorough understanding of Varroa biology, including how Varroa move between host colonies. Here, we highlight that Drone (male) honey bees may also play a role in Varroa dispersal. Drones were collected and the number of Varroa per 100 Drones was calculated for each of five Drone congregation areas (mating sites). This study is the first to confirm that Drones present at Drone congregation areas do carry Varroa. Further experimentation is needed to determine the extent to which Drone-mediated movement may play a role in Varroa life history and/or to develop practical management strategies to limit Drone-mediated movement of Varroa between honey bee hives.
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Managed European-Derived Honey Bee, Apis mellifera sspp, Colonies Reduce African-Matriline Honey Bee, A . m . scutellata , Drones at Regional Mating Congregations
PLOS ONE, 2016Co-Authors: Ashley N. Mortensen, James D EllisAbstract:African honey bees (Apis mellifera scutellata) dramatically changed the South American beekeeping industry as they rapidly spread through the Americas following their introduction into Brazil. In the present study, we aimed to determine if the management of European-derived honey bees (A. mellifera sspp.) could reduce the relative abundance of African-matriline Drones at regional mating sites known as Drone congregation areas (DCAs). We collected 2,400 Drones at six DCAs either 0.25 km or >2.8 km from managed European-derived honey bee apiaries. The maternal ancestry of each Drone was determined by Bgl II enzyme digestion of an amplified portion of the mitochondrial Cytochrome b gene. Furthermore, sibship reconstruction via nuclear microsatellites was conducted for a subset of 1,200 Drones to estimate the number of colonies contributing Drones to each DCA. Results indicate that DCAs distant to managed European apiaries (>2.8 km) had significantly more African−matriline Drones (34.33% of the collected Drones had African mitochondrial DNA) than did DCAs close (0.25 km) to managed European apiaries (1.83% of the collected Drones had African mitochondrial DNA). Furthermore, nuclear sibship reconstruction demonstrated that the reduction in the proportion of African matriline Drones at DCAs near apiaries was not simply an increase in the number of European matriline Drones at the DCAs but also the result of fewer African matriline colonies contributing Drones to the DCAs. Our data demonstrate that the management of European honey bee colonies can dramatically influence the proportion of Drones with African matrilines at nearby Drone congregation areas, and would likely decreasing the probability that virgin European queens will mate with African Drones at those Drone congregation areas.
Ahmed E. Kamal - One of the best experts on this subject based on the ideXlab platform.
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GLOBECOM Workshops - Post-Disaster 4G/5G Network Rehabilitation Using Drones: Solving Battery and Backhaul Issues
2018 IEEE Globecom Workshops (GC Wkshps), 2018Co-Authors: Mohamed Y. E. Selim, Ahmed E. KamalAbstract:Drone-based communications is a novel and attractive area of research in cellular networks. It provides several degrees of freedom in time (available on demand), space (mobile) and it can be used for multiple purposes (self-healing, offloading, coverage extension or disaster recovery). This is why the wide deployment of Drone-based communications has the potential to be integrated in the 5G standard. In this paper, we utilize a grid of Drones to provide cellular coverage to disaster-struck regions where the terrestrial infrastructure is totally damaged due to earthquake, flood, etc. We propose solutions for the most challenging issues facing Drone networks which are limited battery energy and limited backhauling. Our proposed solution based mainly on using three types of Drones; tethered backhaul Drone (provides high capacity backhauling), untethered powering Drone (provides on the fly battery charging) and untethered communication Drone (provides cellular connectivity). Hence, an optimization problem is formulated to minimize the energy consumption of Drones in addition to determining the placement of these Drones and guaranteeing a minimum rate for the users. The simulation results show that we can provide unlimited cellular service to the disaster-affected region under certain conditions with a guaranteed minimum rate for each user.
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Post-disaster 4G/5G Network Rehabilitation using Drones: Solving Battery and Backhaul Issues
arXiv: Networking and Internet Architecture, 2018Co-Authors: Mohamed Y. E. Selim, Ahmed E. KamalAbstract:Drone-based communications is a novel and attractive area of research in cellular networks. It provides several degrees of freedom in time (available on demand), space (mobile) and it can be used for multiple purposes (self-healing, offloading, coverage extension or disaster recovery). This is why the wide deployment of Drone-based communications has the potential to be integrated in the 5G standard. In this paper, we utilize a grid of Drones to provide cellular coverage to disaster-struck regions where the terrestrial infrastructure is totally damaged due to earthquake, flood, etc. We propose solutions for the most challenging issues facing Drone networks which are limited battery energy and limited backhauling. Our proposed solution based mainly on using three types of Drones; tethered backhaul Drone (provides high capacity backhauling), untethered powering Drone (provides on the fly battery charging) and untethered communication Drone (provides cellular connectivity). Hence, an optimization problem is formulated to minimize the energy consumption of Drones in addition to determining the placement of these Drones and guaranteeing a minimum rate for the users. The simulation results show that we can provide unlimited cellular service to the disaster-affected region under certain conditions with a guaranteed minimum rate for each user.
Ashley N. Mortensen - One of the best experts on this subject based on the ideXlab platform.
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The discovery of Varroa destructor on Drone honey bees, Apis mellifera, at Drone congregation areas.
Parasitology research, 2018Co-Authors: Ashley N. Mortensen, Cameron J. Jack, James D EllisAbstract:Varroa is an external parasitic mite of honey bees and is a vector of multiple viruses that can severely weaken or cause the failure of western honey bee colonies if untreated. Effective Varroa control is dependent upon a thorough understanding of Varroa biology, including how Varroa move between host colonies. Here, we highlight that Drone (male) honey bees may also play a role in Varroa dispersal. Drones were collected and the number of Varroa per 100 Drones was calculated for each of five Drone congregation areas (mating sites). This study is the first to confirm that Drones present at Drone congregation areas do carry Varroa. Further experimentation is needed to determine the extent to which Drone-mediated movement may play a role in Varroa life history and/or to develop practical management strategies to limit Drone-mediated movement of Varroa between honey bee hives.
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Managed European-Derived Honey Bee, Apis mellifera sspp, Colonies Reduce African-Matriline Honey Bee, A . m . scutellata , Drones at Regional Mating Congregations
PLOS ONE, 2016Co-Authors: Ashley N. Mortensen, James D EllisAbstract:African honey bees (Apis mellifera scutellata) dramatically changed the South American beekeeping industry as they rapidly spread through the Americas following their introduction into Brazil. In the present study, we aimed to determine if the management of European-derived honey bees (A. mellifera sspp.) could reduce the relative abundance of African-matriline Drones at regional mating sites known as Drone congregation areas (DCAs). We collected 2,400 Drones at six DCAs either 0.25 km or >2.8 km from managed European-derived honey bee apiaries. The maternal ancestry of each Drone was determined by Bgl II enzyme digestion of an amplified portion of the mitochondrial Cytochrome b gene. Furthermore, sibship reconstruction via nuclear microsatellites was conducted for a subset of 1,200 Drones to estimate the number of colonies contributing Drones to each DCA. Results indicate that DCAs distant to managed European apiaries (>2.8 km) had significantly more African−matriline Drones (34.33% of the collected Drones had African mitochondrial DNA) than did DCAs close (0.25 km) to managed European apiaries (1.83% of the collected Drones had African mitochondrial DNA). Furthermore, nuclear sibship reconstruction demonstrated that the reduction in the proportion of African matriline Drones at DCAs near apiaries was not simply an increase in the number of European matriline Drones at the DCAs but also the result of fewer African matriline colonies contributing Drones to the DCAs. Our data demonstrate that the management of European honey bee colonies can dramatically influence the proportion of Drones with African matrilines at nearby Drone congregation areas, and would likely decreasing the probability that virgin European queens will mate with African Drones at those Drone congregation areas.
Ekram Hossain - One of the best experts on this subject based on the ideXlab platform.
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multi tier Drone architecture for 5g b5g cellular networks challenges trends and prospects
IEEE Communications Magazine, 2018Co-Authors: Silvia Sekander, Hina Tabassum, Ekram HossainAbstract:Drones (or unmanned aerial vehicles) are expected to be an important component of 5G/ beyond 5G (B5G) cellular architectures that can potentially facilitate wireless broadcast or point-to-multipoint transmissions. The distinct features of various Drones such as the maximum operational altitude, communication, coverage, computation, and endurance impel the use of a multi-tier architecture for future Dronecell networks. In this context, this article focuses on investigating the feasibility of multi-tier Drone network architecture over traditional single-tier Drone networks and identifying the scenarios in which Drone networks can potentially complement the traditional RF-based terrestrial networks. We first identify the challenges associated with multi-tier Drone networks as well as Drone-assisted cellular networks. We then review the existing state-of-the-art innovations in Drone networks and Drone-assisted cellular networks. We then investigate the performance of a multi-tier Drone network in terms of spectral efficiency of downlink transmission while illustrating the optimal intensity and altitude of Drones in different tiers numerically. Our results demonstrate the specific network load conditions (i.e., ratio of user intensity and base station intensity) where deployment of Drones can be beneficial (in terms of spectral efficiency of downlink transmission) for conventional terrestrial cellular networks.
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multi tier Drone architecture for 5g b5g cellular networks challenges trends and prospects
arXiv: Networking and Internet Architecture, 2017Co-Authors: Silvia Sekander, Hina Tabassum, Ekram HossainAbstract:Drones (or unmanned aerial vehicles [UAVs]) are expected to be an important component of fifth generation (5G)/beyond 5G (B5G) cellular architectures that can potentially facilitate wireless broadcast or point-to-multipoint transmissions. The distinct features of various Drones such as the maximum operational altitude, communication, coverage, computation, and endurance impel the use of a multi-tier architecture for future Drone-cell networks. In this context, this article focuses on investigating the feasibility of multi-tier Drone network architecture over traditional single-tier Drone networks and identifying the scenarios in which Drone networks can potentially complement the traditional RF-based terrestrial networks. We first identify the challenges associated with multi-tier Drone networks as well as Drone-assisted cellular networks. We then review the existing state-of-the-art innovations in Drone networks and Drone-assisted cellular networks. We then investigate the performance of a multi-tier Drone network in terms of spectral efficiency of downlink transmission while illustrating the optimal intensity and altitude of Drones in different tiers numerically. Our results demonstrate the specific network load conditions (i.e., ratio of user intensity and base station intensity) where deployment of Drones can be beneficial (in terms of spectral efficiency of downlink transmission) for conventional terrestrial cellular networks.
Mohamed Y. E. Selim - One of the best experts on this subject based on the ideXlab platform.
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GLOBECOM Workshops - Post-Disaster 4G/5G Network Rehabilitation Using Drones: Solving Battery and Backhaul Issues
2018 IEEE Globecom Workshops (GC Wkshps), 2018Co-Authors: Mohamed Y. E. Selim, Ahmed E. KamalAbstract:Drone-based communications is a novel and attractive area of research in cellular networks. It provides several degrees of freedom in time (available on demand), space (mobile) and it can be used for multiple purposes (self-healing, offloading, coverage extension or disaster recovery). This is why the wide deployment of Drone-based communications has the potential to be integrated in the 5G standard. In this paper, we utilize a grid of Drones to provide cellular coverage to disaster-struck regions where the terrestrial infrastructure is totally damaged due to earthquake, flood, etc. We propose solutions for the most challenging issues facing Drone networks which are limited battery energy and limited backhauling. Our proposed solution based mainly on using three types of Drones; tethered backhaul Drone (provides high capacity backhauling), untethered powering Drone (provides on the fly battery charging) and untethered communication Drone (provides cellular connectivity). Hence, an optimization problem is formulated to minimize the energy consumption of Drones in addition to determining the placement of these Drones and guaranteeing a minimum rate for the users. The simulation results show that we can provide unlimited cellular service to the disaster-affected region under certain conditions with a guaranteed minimum rate for each user.
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Post-disaster 4G/5G Network Rehabilitation using Drones: Solving Battery and Backhaul Issues
arXiv: Networking and Internet Architecture, 2018Co-Authors: Mohamed Y. E. Selim, Ahmed E. KamalAbstract:Drone-based communications is a novel and attractive area of research in cellular networks. It provides several degrees of freedom in time (available on demand), space (mobile) and it can be used for multiple purposes (self-healing, offloading, coverage extension or disaster recovery). This is why the wide deployment of Drone-based communications has the potential to be integrated in the 5G standard. In this paper, we utilize a grid of Drones to provide cellular coverage to disaster-struck regions where the terrestrial infrastructure is totally damaged due to earthquake, flood, etc. We propose solutions for the most challenging issues facing Drone networks which are limited battery energy and limited backhauling. Our proposed solution based mainly on using three types of Drones; tethered backhaul Drone (provides high capacity backhauling), untethered powering Drone (provides on the fly battery charging) and untethered communication Drone (provides cellular connectivity). Hence, an optimization problem is formulated to minimize the energy consumption of Drones in addition to determining the placement of these Drones and guaranteeing a minimum rate for the users. The simulation results show that we can provide unlimited cellular service to the disaster-affected region under certain conditions with a guaranteed minimum rate for each user.
