In order to make the ultraviolet communication network meet the requirements of connectivity, energy saving, less
interference and fault tolerance, topology control technology is a very effective method to adjust the transmission power
of nodes. In reality, the application scenarios of wireless ultraviolet light communication are complex and changeable,
and the optimization goals of the network may also change accordingly. A fault-tolerant three-dimensional topology
control algorithm that is closer to the real environment is proposed in this paper. Under the premise of topology fault
tolerance, the algorithm can optimize the interference to the minimum when the interference has a large impact on the
network and can better consider energy saving when the interference impact is small.
Compared with a single drone, the bee swarm unmanned aerial vehicles(UAVs) have a higher fault tolerance and mission accomplished rate. However, When the UAVs under a complex environment with electromagnetic interference, the communication connections will be interfered greatly, so the position information exchanging unable to work normally. The ultraviolet communication in this article has the advantages of non-line-of-sight, all-weather, and strong antiinterference ability. The structure of the ultraviolet beacon is designed to improve the communication quality and positioning capabilities of the bee swarm UAVs in electromagnetic interference. By building a flight guidance tracking error model and improving the performance of leader-follower algorithm, it is possible to solve the issue of large error feedback during the assembly of bee swarm UAVs. Finally, through simulation experiments to verify the accuracy of the above analysis.
The premise of completing the mission is the precise positioning between the internal machines of the bee colony formation, and the wireless solar blind ultraviolet communication is a stable and secret communication method in the harsh battlefield environment. The existing ultraviolet light localization methods are all based on ranging, but the Distance Measuring Equipment is usually not portable and consumes a lot of power when used, so it is not suitable for a single drone with a small size and limited carrying capacity. In this paper, a non-ranging wireless solar blind ultraviolet localization algorithm is proposed for the above problems. The communication model in the formation of drones is analyzed and proposed, using the received optical power between the drones in the formation, an estimate of the relative position between the drones is achieved. After calculation and analysis, the relative position information with less error can be provided by this method in the bee colony formation while using wireless ultraviolet communication.
Unmanned Aerial Vehicle (UAV) is a new type of flying work tool with the ability to execute tasks. Under strong electromagnetic interference, communication can be carried out by ultraviolet (UV) .Ultraviolet Communication was a communication mode used 200nm~280nm wavelength ultraviolet light as an information carrier. It has the advantage of all-weather operations, non-line-of-sight (NLOS) communication and strong anti- interference. When performing a mission, the UAV formation usually needs to form a fixed formation during the flight to ensure the stability of the link communication network. Moreover, due to the limited energy carried by the UAV, the energy consumption of UAV network should be reduced as much as possible on the basis of maintaining communication in order to maximize the flight time of UAV. The UAVs form persistent formation that need to know the location information of all the UAVs in the formation. When the GPS is not working properly, a kind of two dimensional (2D) localization algorithm which based on the wireless UV ranging method provides relative location information for the UAV formation. This paper proposes a persistent formation generation algorithm for the location information of UAVs that are not shared, the algorithm enables the UAV formation to generate a stable network topology with the least communication links and low energy consumption.
The preconfiguration cycle (p-cycle) is an excellent protection scheme that benefits both the fast recovery time and the efficient resource utilization in wavelength-division-multiplexing (WDM) mesh networks. Before providing protection for any link whose end nodes are both on the p-cycle, the spare capacity assignment for the p-cycles is a very important step for p-cycle design in WDM networks. We present a heuristic scheme, called the p-Cycle Capacity Assignment Algorithm (CCAA), to achieve an optimal capacity assignment of p-cycles in WDM networks without using Integer Linear Programming (ILP). CCAA can configure the p-cycles with good actual efficiency because it first consumes the spare capacity of the links where more spare capacity exists. This scheme is more suitable for the design of maximum p-cycle restorability with a given spare capacity distribution. When allocating the spare capacity for the p-cycles in WDM mesh networks, this scheme considers the actual distribution of the working capacity and the spare capacity of a certain traffic pattern. The performance of CCAA is evaluated by computer simulations on the real-world network topology.
Pre-configuration Cycle (p-cycle) is a promising approach for protecting working capacities in wavelength-division-multiplexing (WDM) mesh networks because of its ability to achieve ring-like recovery speed while maintaining the capacity efficiency of a mesh-restorable network. The p-cycle design in WDM mesh networks is to determine a set of p-cycles requiring near-minimal spare capacity to fully protect a capacitated network with individually different working capacity quantities on each span. The spare capacity allocation for the p-cycles is to decide where to place spare capacity in the network and how much spare capacity must be reserved on the p-cycles to guarantee seamless communications services survivable to a set of failure scenarios. The p-cycles are formed in the spare capacity of the network, so a spare capacity allocation of the p-cycles can be done without affecting the working traffic. This paper investigates the spare capacity allocation problem for p-cycles in WDM mesh networks. We propose a heuristic method, called the Joint p-Cycle capacity allocation (JCCA), for p-cycles spare capacity allocation in WDM mesh networks. This method can allocate optimal spare capacity for p-cycles and ensure 100% restorability without using Integer Linear Programming (ILP). JCCA configures the p-cycles with considering the distribution of the capacity distribution of the networks and first assigns p-cycles with good actual efficiency. The performance of JCCA is evaluated by computer simulations on the real world network topology. And the comparisons of this method and traditional design algorithms are presented in the paper.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.