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The paper presents basic control algorithms for vehicle platooning prototype car. The car is designed to be used in vehicle platooning research, namely in studying longitudinal control algorithms for vehicle platooning. It employs various sensors and devices that allow indoor research of platoon behavior. Therefore, the control algorithms can be designed and analyzed before implementing them within...
Nowaday, mobile crowdsensing (MCS) is widely used in mobile devices, and one of the key challenges is how to motivate users to provide sensing services. In this paper, we explore the sensing task allocation in a MCS environment in which requester aims to maximize the valuation of tasks with limited budget. According to the multi-parameter bids of users including sensing costs and available time, we...
High data quality and low sensing cost are two primary goals in large-scale mobile crowdsensing applications. The oversampling and the undersampling are common problems which always result in a high cost or low data quality that can not satisfy the system requirement. To address this problem, taking into account low-rank latent structure, we propose a compressive and adaptive data sampling scheme...
Recently, the security issues of CPS have attracted much attention from many researchers. Standing on the point of attacker, this work investigates the optimal channel jamming attack against wireless state estimation in CPS with energy constraint. Specifically, we consider that the attacker can jam the wireless channel with various power levels that will cause different sensory packet drop probabilities...
In this paper, we consider non-Bayesian parameter estimation in wireless sensor networks (WSNs) with multiple sensors that have different quantization resolutions. Quantized measurements provide improved performance in the sense of energy consumption, communication bandwidth, and hardware complexity, but are less informative than analog, unquantized measurements and may lead to poor estimation performance...
In this paper, we aim at improving the estimation performance of the direction of arrival (DOA) in a colocated MIMO radar through power allocation under the sparsity constraints. Specifically, by considering the sparse recovery techniques, we try to minimize the coherence of associated sensing matrix by optimally distributing the power among transmit antennas. To determine the optimal power distribution,...
This study aimed at solving the multi-UAV route planning problem. It is necessary to decompose the mission into sub-goals and to decide which UAV should execute which subgoal (i.e. task). In an application domain, there are sixty-eight fixed locations, which are to be inspected by four UAVs after traveling through the minimum time. An ant colony algorithm (ACO) is used for path planning, and greedy...
In this study, a spectrum allocation algorithm is proposed to reduce the cost and the packets loss rate in the communications between the utility company and the consumers. We establish a cost model based on spectrum allocation in smart grid. Specifically, the subbands are allocated to different data aggregator units (DAUs) according to the confidence level and the maximum cost requirements. The maximum...
Data muling using UAVs/drones is currently emerging as an alternative to the traditional traffic engineering techniques used in wireless sensor networks, when wireless communication is not an option or the least cost-efficient solution. This paper revisits the issue of traffic engineering in Internet-of-Things (IoT) settings, to assess the relevance of using UAVs for the persistent collection of sensor...
In this study, we propose a crowd sensing framework with the existence of execution uncertainty and a given budget. Our framework consists of three stages: Task Selection, Task Allocation, and Payment. Within each stage, we define the design problems and give a preliminary solution with desirable theoretic properties.
Wideband sensing-based cognitive radio with simultaneous wireless information and power transfer can be designed for efficient spectrum and energy usage. We investigate maxmin fairness energy-harvesting optimization problem in such a system by taking into account of the individual link fairness. In particular, we maximize the energy harvested by the worstcase link when the problem is subject to the...
Spectrum Access System (SAS) allows incumbent military systems to share spectrum in a hierarchical manner with tier-2 Priority Access License (PAL) users and tier-3 General Authorized Access (GAA) users. FCC has recently allowed PAL owners to sublicense their channels. Therefore, when GAA channels are congested they can request a sublicense to access the PAL channel on a coordinated basis, which provides...
One of the challenges of direct vehicle-to-vehicle (V2V) communication is to find efficient radio resource management (RRM) strategies that can fulfil the requirements even with high traffic density. In cellular networks, a device-to-device (D2D) communication is usually split into two phases: the discovery process, for node awareness of each other; and the communication phase itself, where data exchange...
Mobile crowdsensing has emerged as a promising paradigm for data collection due to increasingly pervasive and powerful mobile devices. There have been extensive research works that propose incentive mechanisms for crowdsensing, but they all make the assumption that mobile users will positively complete the allocated sensing tasks. In this paper, we consider a new and practical scenario of crowdsensing,...
This paper introduces a novel paradigm for resource management in distributed systems, called decision-driven execution. The paradigm is appropriate for mission-driven systems, where the goal is to enable faster, leaner, and more effective decision making. All resource consumption, in this paradigm, is tied to the needs of making decisions on alternative courses of action. A point of departure from...
In this paper, we use a Spectrum Sharing/allocation algorithm to implement a Cognitive Radio network without spectral awareness. This allows radio resources to be allocated to primary users and to secondary users in such a way that primary system and secondary system are aware of each other. By doing this, sensing of spectrum holes is avoided but the primary users will be protected and will always...
In currently deployed wireless networks, the lack of dynamic control across wireless resources leads to suboptimized and unbalanced spectrum loads, especially in below 6GHz bands, which in turn creates a (perceived) capacity bottleneck in end users. This issue can be addressed through the adoption of the eDSA (extended Dynamic Spectrum Access) paradigm, which consists of enhanced resource management...
The pervasiveness of mobile phones and the increasing sensing capabilities of their built-in sensors have made mobile crowd sensing (MCS) a promising approach for large-scale event detection and collective knowledge formation. In a typical MCS system, the crowdsourcer purchases sensing data from some mobile phone users (i.e., contributors) and sells it to consumers for revenue. This kind of sensing...
In this paper, we study a multi-level power allocation scheme for SUs in cognitive radio systems that uses a new frame structure to improve overall throughput of the system. The scheme is different from the conventional strategies in that the PU can now transmit with multiple levels of power rather than a constant level of power, which seems to be more realistic and practical. Our proposed strategy...
Mobile crowdsensing is a new paradigm which explores the mobility and intelligence of mobile users to collect high-quality data from social events and phenomena for conducting complex sensing tasks. Nevertheless, privacy preservation and task allocation become main obstacles that need additional attention. To achieve accurate task allocation, it is inevitable to share some sensitive information of...
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