Penn State College of Communications

About: Penn State College of Communications is a based out in . It is known for research contribution in the topics: Relay & Cognitive radio. The organization has 2106 authors who have published 2119 publications receiving 24693 citations.

La confianza en los actores institucionales en 22 países. Análisis de la confianza en la política, la ciencia y los medios de comunicación en el mundo

Abstract: espanolIntroduccion. La confianza social ha atraido desde hace mucho tiempo el interes de los investigadores de diferentes disciplinas. La mayoria de los estudios sobre esta materia se han basado en datos de un solo pais, y han considerado una sola dimension de la confianza social cada vez (por ejemplo, la confianza en la ciencia, en los medios de comunicacion o en las instituciones politicas). Esta investigacion desarrolla el modelo propuesto por el Inventario Global de la Confianza (Global Trust Inventory, GTI) al analizar simultaneamente varias dimensiones de la confianza social, ademas de examinar como la confianza en las instituciones varia en las distintas sociedades. A partir de una encuesta online de panel distribuida en 22 paises (N = 22.033), estudiamos las diferencias en la confianza social entre sociedades, incluyendo en nuestro analisis la confianza en el Gobierno, en los organismos gubernamentales, en las instituciones nacionales de seguridad y en los productores de conocimiento cientifico. Ademas, el estudio contribuye a una operacionalizacion mas amplia del concepto de confianza social al introducir una medida de confianza en los medios de comunicacion. Los resultados se discuten a partir de la comparacion entre paises emergentes y desarrollados, de acuerdo con su Indice de Desarrollo Humano (IDH). EnglishSocial trust has long attracted the interest of researchers across different disciplines. Most of previous studies rely on single-country data and consider only one dimension of social trust at a time (e.g., trust in science, the media or political institutions). This research extends a framework developed by the Global Trust Inventory (GTI) by discussing several dimensions of social trust, while simultaneously analyzing how trust in institutions varies across societies. Drawing on an online panel survey collected in 22 countries (N = 22,033), we examine cross-country differences in social trust—including government trust, trust in governing bodies, security, and knowledge producers. Additionally, this paper fills a gap in current literature by including a measure of trust in the media. Findings are discussed in the context of comparing emerging and developed countries based on the Human Development Index.

Modified adaptive flight control of quadrotor based on single neuron PID

Abstract: Proportional-integral-derivative (PID) is often applied for flight control of quadrotor. However, traditional PID methods is faced with slow setting process and large overshoot, which lead to the disappointing dynamic response and the large steady-state error in the control system. To improve the effectiveness of control, this paper proposes a modified adaptive control method based on single neuron PID, which has two key features. First, the weight coefficients can be regulated. Second, the adaptive adjustment of the neuron ratio is derived by applying a nonlinear control approach. Simulation results demonstrate that the proposed method achieves better channel control than the traditional PID methods, and exhibits faster dynamic response speed, higher steady-state control precision and better robustness.

Joint Computation Offloading and Resource Allocation in UAV Swarms with Multi-access Edge Computing

Abstract: With the emergence of multi-access edge computing (MEC) paradigm, mobile users who have computation-intensive and low-latency tasks can exploit computing resources of network edge MEC servers or other computing nodes. For a multi-user and multi-helper coexisting system (e.g., a cluster of UAVs), when computation offloading occurs, an efficient computation offloading scheme which can reduce users’ energy consumption or latency is required. In this paper, we study the computation offloading scheme in a multi-user UAV system in which UAVs with missions can offload part of the missions to helpers nearby to meet the delay constraint. And we minimize the total energy consumption of all devices by optimizing users’ strategy of offloading objects, transmission channel, and offloading rate. To solve the difficult problem of optimization variable coupling, we proposed a two-stage resource allocation scheme that exploits the convex optimization method and stochastic learning automata (SLA) algorithm respectively. Finally, simulation results indicate that our proposed schemes can effectively decrease energy consumption compared to several benchmark schemes.

Systematic decision making: a extended multi-criteria decision making model

Abstract: Considering some complex multi-criteria decision making (MCDM) problems, in which decision environment is dynamic, there are various interdependences among criteria, and plans (systematized alternatives) consisting of multiple time sequential interdependent actions, cannot be well handled by means of the existing MCDM methods, therefore, we develop a systematic decision making (SDM) as an improvement and supplement of the classic MCDM in this paper. The SDM is for prescribing methods of evaluating and selecting the most favourite plan (a system) from a group of feasible ones concerning influences of time-varying criteria system under dynamic external environment. Through detailed analysis, we separate a SDM problem into multi-period MCDM subproblems, and then a plan can be a combination of time sequential strategies in which each strategy (a subset of actions) is a feasible decision choice of corresponding MCDM sub-problem. After clarifying variety of interdependences, interactions and interrelationships in the SDM problems, such as criteria-interdependences, action-interdependences, interactions between criteria and criteria system, interactions between actions and strategies, interactions between strategies and plans, interactions between internal environment (criteria system) and external environment, feedbacks from external environment to the corresponding MCDM sub-problems, and interrelationships among MCDM sub-problems and so on, we transform the SDM into multi-period interrelated MCDM model which can be dealt with more easily by using multiple optimization models. At the end of the paper, three typical properties of the SDM are proposed and most of the existing MCDM models are pointed out as special cases of the SDM.

Hitchhike: A Preamble-Based Control Plane for SNR-Sensitive Wireless Networks

Abstract: Recently, carrying control signals on passing data packets has emerged as a promising direction for efficient control information transmission. With control messages carried on data payload, the extra air time needed for control packets like RTS/CTS is eliminated and thus channel utilization is improved. However, carrying control signals on the data payload of a packet requires the data packet to have a sufficiently large SNR, otherwise both the data packet and the control messages are lost. In this paper, we propose Hitchhike , a technique that utilizes the preamble field to carry control messages. Hitchhike completely decouples the control messages from the payload and therefore the superposition of (multiple) control messages has little adverse effect on the operation of the payload decoding. We implement and evaluate Hitchhike in the USRP2 platform with five nodes. Evaluation results demonstrate the feasibility and effectiveness of Hitchhike. Compared with the state-of-the-art, e.g., side-channel in 802.15.4, Hitchhike improves the detection accuracy of control messages by 40% and reduces the data loss caused by control messages by 15%.