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This paper focuses on secure communication, data-analytic signal processing and robust algorithms for inertial navigation systems (INSs). Middleware, software, data processing and algorithms are studied. We examine and report high-impact technology developments as applied to current and next generations of INSs. We research advanced microelectronic, processing and software solutions. New architectures,...
The routing algorithms for wireless sensor networks (WSN) are in process of optimization for addressing issues like energy conservation, delay and throughput in presence of limited resources in terms of memory, CPU processing power and power source (batteries). Although, it has not been possible to date, a development of routing algorithm addressing all the issues of WSN. Various tradeoffs exists...
Efficient and accurate spectrum sensing is a necessary part in cognitive radio networks. A simple and efficient spectrum sensing technique is proposed to solve the bad performance of spectrum sensing in non synchronous OFDM signals with low SNR regimes. Through the decomposition of the traditional OFDM signal spectrum sensing technology based on cyclostationarity, the real part and the imaginary part...
Computer has been widely used and fully researched along with the progress of electronic technology. We are no longer satisfied with simple calculation in computer application, but expect they can replace the human brain to accomplish complex work. So the artificial intelligence has emerged. There is a very classic research topic in the history of artificial intelligence — Intelligent Planning. IJCAI...
Searching a suitable parking space in populated metropolitan city is extremely difficult for drivers. Serious traffic congestion may occur due to unavailable parking space. Automatic smart parking system is emerging field and attracted computer vision researchers to contribute in this arena of technology. In this paper, we have presented a vision based smart parking framework to assist the drivers...
Spectrum sensing is used to perceive the spectral environment over a wide frequency band. The multiple measurement vector (MMV) model can be applied to the spectrum sensing scenario since it enables jointly sparse signal recovery. In this paper, a novel spectrum sensing algorithm, referred to as multiple subspace matching pursuit (MSMP), is proposed to reduce the miss detection and false alarm events...
This work proposes a decentralized and adaptive subspace estimation method, called the Power-Oja (P-Oja) method. Existing decentralized subspace tracking algorithms have slow convergence rate or are unable to adapt to time varying statistics. To resolve these issues, the P-Oja method is developed by combining the power method with Oja's learning rule. Our key innovation lies on the design of a modified...
Cognitive radio (CR) systems need to detect the presence of a primary user (PU) signal by continuously sensing the spectrum area of interest. Radiowave propagation effects like fading and shadowing often complicate sensing of spectrum holes because the PU signal can be weak in a particular area. Cooperative spectrum sensing is seen as a prospective solution to enhance the detection of PU signals....
The latest research progress of the theory of compressed sensing (CS) over graphs makes it possible that the advantage of CS can be utilized by data ferries to gather data in WSNs. In this paper, we leverage the non-uniform distribution of the sensing data field to significantly reduce the required number of data ferries, yet ensuring the recovered data quality. Specially, we propose an intelligent...
Barrier coverage has received much attention in the last decade and has been an import issue in wireless sensor networks. In the previous study, a number of researchers have presented algorithms for coping with the barrier coverage problem. However, these studies consider that sensors are equipped with batteries and the sensing model applies Boolean Sensing Model (BSM). The sensor using battery as...
Currently, personal assistant systems, run on smartphones and use natural language interfaces. However, these systems rely mostly on the web for finding information. Mobile and wearable devices can collect an enormous amount of contextual personal data such as sleep and physical activities. These information objects and their applications are known as quantified-self, mobile health or personal informatics,...
Graph rigidity is an important property in multi-agent network for localization, formation control, and sensor fusion. In graph theory, a graph is minimally rigid if the removal of any edge results in a non-rigid graph. This work proposes distributed edge deletion algorithm that can enable to construct a minimally rigid graph. We discuss this problem for undirected multi-agent network with fixed topology...
Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement...
Internet of Things (loT) is a promising area which enables remote health monitoring. Providing timely notifications during emergency situations supports the remote monitoring. Processing and analysis of massive data generated is a challenge faced by health industry. The enormity of data generated through connected devices and analysis thereof is a bigger challenge for traditional data management systems...
Energy consumption and lifetime of WSN are the most important research challenges to be resolved. For load balancing and efficient data collection in the network, clustering is used. Sensors in each cluster send the data to their corresponding cluster heads. The cluster head performs data aggregation and transmission of the aggregated data to the base station. Farther sensor nodes data are aggregated...
VANETs are vehicular ad hoc networks where vehicles are the transmitting nodes. The radio channels through which these nodes send messages are valuable resources which need to be used diligently. These resources need to be shared fairly among all. To facilitate equal sharing of the radio channels cognitive radio is used. Cognitive radio is capable of sensing the channels and utilizing them. Spectrum...
Wireless body sensor networks (WBSN), elected as a promising infrastructure for mobile health (m-health) applications and e-healthcare, are facing many challenges related to their powering and processing capabilities. In depth, the available hardware resources and energy embedded on these tiny body sensors, to record and transmit continuous streams of unprocessed biosignals, are limited and cannot...
Solar Energy is most reliable and efficient renewable source for Electrical Power Generation. The electrical power output from the solar panel can effectively be obtained from Solar Photo Voltaic (SPV) Panels. Maximum Power Point Tracking is an algorithm to obtain maximum power from the solar panel effectively. The researchers employed various methods like Perturb & Observe method [1], Incremental...
Wireless mesh networks (WMNs) cannot utilize the full capability of these radio technologies without an effective channel assignment algorithm. Existing metrics for characterising the efficacy of channel assignment algorithms poorly reflect the goodput distribution in WMNs. In this paper, we develop a fitness evaluation algorithm that feeds back several indicators of efficacy to a channel assignment...
As technology evolves, its consumers gain considerable advantages to bring prosperity for all humankind. It is so in medical environment. Even though there always has been standards in hospital or other related medical sites, it is possible for people with the help of technology to study about simple theory of pathology and find another mechanism to meet those standards, i.e., to create new method...
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