Geographical Information System Enhancement Using Active Learning-Enhanced Semantic Segmentation

Images captured by drones are increasingly used in various fields, including geographic information management. This study evaluates a procedure that incorporates active learning semantic segmentation for verifying the building registration ledger. Several semantic segmentation techniques were evaluated to extract building information, with ResNet identified as the most effective method for accurately recognizing building roofs. Using active learning, the training data were refined by removing instances with low similarity, leading to improved network performance of the model. The procedure was demonstrated to identify discrepancies between the building information system and the inferred label images, as well as to detect labeling errors on a training dataset. Through this research, the geographic information system dataset is enhanced with minimal human oversight, offering significant potential for urban planning and building detection advancements

Selective Cooperative Transmission in Ad Hoc Networks with Directional Antennas

This paper presents a selective cooperative transmission scheme (abbreviated SCT) for ad hoc network with directional antennas that leverages the benefits of directional-only antenna approach and cooperative communication. The main feature of SCT is its adaptability to the channel condition in the network. In other words, when the node sends data, SCT determines its transmission strategy on either direct or cooperative transmission via a relay node called a forwarder, depending on the transmission time. Simulation results are provided to validate the effectiveness of the proposed scheme

Latency and Jitter Analysis for IEEE 802.11e Wireless LANs

This paper presents a numerical analysis of latency and jitter for IEEE 802.11e wireless local area networks (WLANs) in a saturation condition, by using a Markov model. We use this model to explicate how the enhanced distributed coordination function (EDCF) differentiates classes of service and to characterize the probability distribution of the medium access control (MAC) layer packet latency and jitter, on which the quality of the voice over Internet protocol (VoIP) calls is dependent. From the proposed analytic model, we can estimate the available number of nodes determining the system performance, in order to satisfy user demands on the latency and jitter

Queuing Analysis for IEEE 802.11e Networks in Non-Saturation Environments

This paper presents an analytical model for the performance evaluation of an IEEE 802.11e network in non-saturation environments. We first characterize the probability distribution of the MAC layer packet service time. Based on the probability distribution model of the MAC layer packet service time, we then study the queuing performance of the wireless local area networks (WLANs) at different traffic loads based on the IEEE 802.11e MAC protocol. The numerical results show that we can choose a feasible number and bandwidth of the node which determines the system performance that a user demands

Resource Efficient Handover Strategy for LTE Femtocells

Long Term Evolution (LTE) networks that are composed of macrocells and femtocells can provide an efficient solution to not only extend coverage of macrocells but also deal with the growth of traffic within macrocells. LTE is now being considered to be a vital connectivity solution for the success of the Internet of Things (IoT) because it can provide broadband connectivity to the growing number of sensing and monitoring devices and even the wireless sensor networks (WSNs). However, it is still challenging to properly allocate radio frequency resources in the handover procedure between a macrocell and a femtocell. In this paper, we propose a new handover algorithm that increases the efficient utilization of a radio frequency resource and thereby maximizes the capacity of the overall LTE network, including the femtocells within network. The handover decision criteria take into account the strength of the received signal, the radio resource reuse, and the overall capacity of the network throughput. The performance of the proposed algorithm is verified through a simulation, and the simulation results indicate that the proposed handover algorithm improves the reusability of the cell bandwidth and increases the overall capacity of the network