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Smart Energy Efficient Hierarchical Data Gathering Protocols for Wireless Sensor Networks
Amjad Mehmood,Houbing Song 한국산학기술학회 2015 SmartCR Vol.5 No.5
WSNs are the most important machineries to monitor the physical environments. It is an infrastructure-less autonomous, and can be developed under any circumstances. Due to its importance, it is being widely used in different applications of our daily life. Similarly, it is making our hard challenges easy. On contrary of other networks, it has a resource constrained environment. Normally, WSN deployed in an area which is not in the reach of human. So the resources must be used in a fashion that could increase its lifetime. This paper discusses energy and communication overhead saving in each category of routing protocols with respect to the design trade-offs. We also pointed out the performance and advantages of each technique On the basis of these findings any future work could be performed to improve the existing protocols and also use them for other types of networks as well.
CCAJS: A Novel Connect Coverage Algorithm Based on Joint Sensing Model for Wireless Sensor Networks
( Zeyu Sun ),( Yali Yun ),( Houbing Song ),( Huihui Wang ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
This paper discusses how to effectively guarantee the coverage and connectivity quality of wireless sensor networks when joint perception model is used for the nodes whose communication ranges are multi-level adjustable in the absence of position information. A Connect Coverage Algorithm Based on Joint Sensing model (CCAJS) is proposed, with which least working nodes are chosen based on probability model ensuring the coverage quality of the network. The algorithm can balance the position distribution of selected working nodes as far as possible, as well as reduce the overall energy consumption of the whole network. The simulation results show that, less working nodes are needed to ensure the coverage quality of networks using joint perception model than using the binary perception model. CCAJS can not only satisfy expected coverage quality and connectivity, but also decrease the energy consumption, thereby prolonging the network lifetime.
Waleed Raza,Xuefei Ma,Houbing Song,Amir Ali,Habib Zubairi,Kamal Acharya 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.1
The underwater acoustic wireless communication networks are generally formed by the different autonomous underwater acoustic vehicles, and transceivers interconnected to the bottom of the ocean with battery deployed modems. Orthogonal frequency division multiplexing (OFDM) has become the most popular modulation technique in underwater acoustic communication due to its high data transmission and robustness over other symmetrical modulation techniques. To maintain the operability of underwater acoustic communication networks, the power consumption of battery-operated transceivers becomes a vital necessity to be minimized. The OFDM technology has a major lack of peak to average power ratio (PAPR) which results in the consumption of more power, creating non-linear distortion and increasing the bit error rate (BER). To overcome this situation, we have contributed our symmetry research into three dimensions. Firstly, we propose a machine learning-based underwater acoustic communication system through long short-term memory neural network (LSTM-NN). Secondly, the proposed LSTM-NN reduces the PAPR and makes the system reliable and efficient, which turns into a better performance of BER. Finally, the simulation and water tank experimental data results are executed which proves that the LSTM-NN is the best solution for mitigating the PAPR with non-linear distortion and complexity in the overall communication system.
( Zeyu Sun ),( Yongsheng Zhang ),( Xiaofei Xing ),( Houbing Song ),( Huihui Wang ),( Yangjie Cao ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.8
In the process of k-coverage of the target node, there will be a lot of data redundancy forcing the phenomenon of congestion which reduces network communication capability and coverage, and accelerates network energy consumption. Therefore, this paper proposes a novel energy balanced k-coverage control algorithm based on probability model (EBKCCA). The algorithm constructs the coverage network model by using the positional relationship between the nodes. By analyzing the network model, the coverage expected value of nodes and the minimum number of nodes in the monitoring area are given. In terms of energy consumption, this paper gives the proportion of energy conversion functions between working nodes and neighboring nodes. By using the function proportional to schedule low energy nodes, we achieve the energy balance of the whole network and optimizing network resources. The last simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but also completely inhibit the rapid energy consumption of node, and extend the network lifetime.
A Survey on State-of-the-Art Knowledge-based System Development and Issues
Muhammad Muneer Umar,Amjad Mehmood,Houbing Song 한국산학기술학회 2015 SmartCR Vol.5 No.6
The human brain can store countless folds of knowledge. Still, we cannot fully utilize a single human brain to solve a specific problem. Knowledge-based systems (KBSs) are computer programs specifically developed to perform problem solving like human experts. These systems effectively expand efficiency and flawlessly solve problems in various fields. The structure of a KBS can be divided into five standard components, which are described in detail. The component used for storage is called a knowledgebase, while an inference engine is a software module that processes the knowledge stored in the knowledgebase. Different tools, shells and programming languages can be used to develop and utilize KBSs. The most popular development languages are List Programming (Lisp), Prolog, Java Expert Systems Shell (JESS) and C Language Integrated Production System (CLIPS). This paper highlights various known issues in the phases of the development, deployment and maintenance of KBSs. Developers, as well as end users, may face various issues in the life cycle of these systems. The key personalities involved in the development and maintenance of KBSs are knowledge engineers and domain knowledge experts. Most issues are related to the experts’ availability, their behavior and long-term cooperation.
ESBL: An Energy-Efficient Scheme by Balancing Load in Group Based WSNs
( Amjad Mehmood ),( M. Nouman ),( Muhammad Muneer Umar ),( Houbing Song ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
Energy efficiency in Wireless Sensor Networks (WSNs) is very appealing research area due to serious constrains on resources like storage, processing, and communication power of the sensor nodes. Due to limited capabilities of sensing nodes, such networks are composed of a large number of nodes. The higher number of nodes increases the overall performance in data collection from environment and transmission of packets among nodes. In such networks the nodes sense data and ultimately forward the information to a Base Station (BS). The main issues in WSNs revolve around energy consumption and delay in relaying of data. A lot of research work has been published in this area of achieving energy efficiency in the network. Various techniques have been proposed to divide such networks; like grid division of network, group based division, clustering, making logical layers of network, variable size clusters or groups and so on. In this paper a new technique of group based WSNs is proposed by using some features from recent published protocols i.e. “Energy-Efficient Multi-level and Distance Aware Clustering (EEMDC)” and “Energy-Efficient Multi-level and Distance Aware Clustering (EEUC)”. The proposed work is not only energy-efficient but also minimizes the delay in relaying of data from the sensor nodes to BS. Simulation results show, that it outperforms LEACH protocol by 38%, EEMDC by 10% and EEUC by 13%.
Named-Data-Networking-Based ITS for Smart Cities
Bouk, Safdar Hussain,Ahmed, Syed Hassan,Kim, Dongkyun,Song, Houbing Institute of Electrical and Electronics Engineers 2017 IEEE communications magazine Vol.55 No.1
<P>A smart city enhances the quality of its citizens' lives by providing ease of access to ubiquitous services through integration using communication systems at the foundation. Additionally, ITS plays a major role in making a metropolitan area into a smart city. The current IP-based solutions for ITS have slanted the performance due to high demand for data on the move, especially when the consumers become the producers. Meanwhile, NDN has evolved as a promising future Internet architecture and is being investigated extensively. In this article, we discuss the core functionality of NDN followed by our new architecture proposed for ITS in smart cities. Also, we highlight the current and future research challenges for NDN-enabled ITS in the context of smart cities.</P>
Visual Attention Model Based on Particle Filter
( Long Liu ),( Wei Wei ),( Xianli Li ),( Yafeng Pan ),( Houbing Song ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.8
The visual attention mechanism includes 2 attention models, the bottom-up (B-U) and the top-down (T-D), the physiology of which have not yet been accurately described. In this paper, the visual attention mechanism is regarded as a Bayesian fusion process, and a visual attention model based on particle filter is proposed. Under certain particular assumed conditions, a calculation formula of Bayesian posterior probability is deduced. The visual attention fusion process based on the particle filter is realized through importance sampling, particle weight updating, and resampling, and visual attention is finally determined by the particle distribution state. The test results of multigroup images show that the calculation result of this model has better subjective and objective effects than that of other models.
DIFS: Distributed Interest Forwarder Selection in Vehicular Named Data Networks
Ahmed, Syed Hassan,Bouk, Safdar Hussain,Yaqub, Muhammad Azfar,Kim, Dongkyun,Song, Houbing IEEE 2018 IEEE transactions on intelligent transportation sy Vol.19 No.9
<P>In this paper, we propose a distributed interest forwarder selection (DIFS) scheme that mitigates the interest broadcast storm in vehicular named data networks. In DIFS, a vehicle sends an interest packet piggybacking its location, distance to the neighbors, and speed. In this case, the immediate neighbors do not have the requested content and rank themselves to be an eligible interest forwarder by using multiple attributes. Additionally, every intermediate vehicle uses a digital map to be selected as forwarders in both (forward and backward) directions of the consumer. Simulations show that DIFS satisfies more interest packets with less delay as compared with the recent forwarding solutions.</P>