A Survey on Intelligent Sensor Network and Its Applications

With advances in technology, small form-factor sensors are feasible for various kinds of applications. The improvements on communication technology further make it practical to construct a wireless sensor network (WSN). In this paper, we review the works that are related to intelligent sensor network. Because there are no precise definitions of intelligent sensor network, we group them into two categories. One is to solve WSN issues with intelligent algorithms. The other is to design an intelligent application that incorporates sensor networks as the data sources. According to the categorization, the description of WSN issues, intelligent algorithms, and intelligent application technology are also provided in this article.

[1]  Muhammad Irfan,et al.  Carbon monoxide detection and autonomous countermeasure system for a steel mill using Wireless Sensor and Actuator Network , 2010, 2010 6th International Conference on Emerging Technologies (ICET).

[2]  S. Krco,et al.  Implementation solutions and issues in building a personal sensor network for health care monitoring , 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

[3]  Ivan Mezei,et al.  Improved decision making in WSN based on localized auctions and fuzzy logic , 2011, 2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers.

[4]  Zhenghong Xiao,et al.  An Anomaly Detection Scheme Based on Machine Learning for WSN , 2009, 2009 First International Conference on Information Science and Engineering.

[5]  Fernando J. Velez,et al.  Survey on the Characterization and Classification of Wireless Sensor Network Applications , 2014, IEEE Communications Surveys & Tutorials.

[6]  H. T. Mouftah,et al.  A Survey of Architectures and Localization Techniques for Underwater Acoustic Sensor Networks , 2011, IEEE Communications Surveys & Tutorials.

[7]  Leonard Barolli,et al.  Prediction of Sensor Lifetime in Wireless Sensor Networks Using Fuzzy Logic , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

[8]  Ganesh K. Venayagamoorthy,et al.  Computational Intelligence in Wireless Sensor Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.

[9]  Douglas C. Sicker,et al.  A Survey on Biologically Inspired Algorithms for Computer Networking , 2013, IEEE Communications Surveys & Tutorials.

[10]  Huazhong Zhang,et al.  IMPROVING ON LEACH PROTOCOL OF WIRELESS SENSOR NETWORKS USING FUZZY LOGIC , 2010 .

[11]  Eduardo Tovar,et al.  Improving Quality-of-Service in Wireless Sensor Networks by Mitigating “Hidden-Node Collisions” , 2009, IEEE Transactions on Industrial Informatics.

[12]  W. Pan,et al.  Lifetime Enhancement in Wireless Sensor Networks Using Fuzzy Approach and A-Star Algorithm , 2012, IEEE Sensors Journal.

[13]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[14]  Harish Viswanathan,et al.  Network and service architecture for emerging services based on home sensor networks , 2009, Bell Labs Technical Journal.

[15]  Ganesh K. Venayagamoorthy,et al.  Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Liou Chu A RFID-Based Hybrid Building Fire Evacuation System on Mobile Phone , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[17]  Lie-Liang Yang,et al.  Low-complexity noncoherent fusion rules for wireless sensor networks monitoring multiple events , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[18]  Moe Z. Win,et al.  Energy Efficiency of Dense Wireless Sensor Networks: To Cooperate or Not to Cooperate , 2006, 2006 IEEE International Conference on Communications.

[19]  A. Sally Hassan,et al.  A survey of Game Theory using Evolutionary Algorithms , 2010, 2010 International Symposium on Information Technology.

[20]  Radha Poovendran,et al.  HiRLoc: high-resolution robust localization for wireless sensor networks , 2006, IEEE Journal on Selected Areas in Communications.

[21]  M. Sgroi,et al.  From Modeling to Implementation of Virtual Sensors in Body Sensor Networks , 2012, IEEE Sensors Journal.

[22]  Mohammad S. Obaidat,et al.  An ant colony optimization approach for reputation and quality-of-service-based security in wireless sensor networks , 2009, Secur. Commun. Networks.

[23]  Jun Zhang,et al.  An Ant Colony Optimization Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[24]  Siba K. Udgata,et al.  Sensor deployment in irregular terrain using Artificial Bee Colony algorithm , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[25]  Lalit M. Patnaik,et al.  Genetic algorithms: a survey , 1994, Computer.

[26]  Feng-Cheng Chang,et al.  A location-based context-aware service discovery approach for cycling experience , 2014, Int. J. Ad Hoc Ubiquitous Comput..

[27]  Reza Askari Moghadam,et al.  A Survey on Application of Neural Networks in Energy Conservation of Wireless Sensor Networks , 2010, WiMo.

[28]  Wen-Tsai Sung,et al.  Enhance the efficient of WSN data fusion by neural networks training process , 2010, 2010 International Symposium on Computer, Communication, Control and Automation (3CA).

[29]  Fu-Yi Hung,et al.  Analysis and Simulation of Theme Park Queuing System , 2014, 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[30]  P.J. Wolfs,et al.  Reduction of power consumption in sensor network applications using machine learning techniques , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

[31]  Konstantinos P. Ferentinos,et al.  Adaptive design optimization of wireless sensor networks using genetic algorithms , 2007, Comput. Networks.

[32]  Raheem A. Beyah,et al.  VEBEK: Virtual Energy-Based Encryption and Keying for Wireless Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

[33]  Tarik Taleb,et al.  Dynamic Multilevel Priority Packet Scheduling Scheme for Wireless Sensor Network , 2013, IEEE Transactions on Wireless Communications.

[34]  Wei Shen,et al.  A Smart Gateway for Health Care System Using Wireless Sensor Network , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.

[35]  Mustapha Chérif-Eddine Yagoub,et al.  PSO-HC: Particle swarm optimization protocol for hierarchical clustering in Wireless Sensor Networks , 2014, 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.

[36]  Jin-Shyan Lee,et al.  Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication , 2012, IEEE Sensors Journal.

[37]  Dr. Jitendra Sheetlani,et al.  Fault Node Recovery Algorithm for a Wireless Sensor Network , 2016 .

[38]  Jie Wu,et al.  On Maximizing the Lifetime of Wireless Sensor Networks Using Virtual Backbone Scheduling , 2012, IEEE Transactions on Parallel and Distributed Systems.

[39]  Li Li,et al.  Hybrid Learning Algorithm for Effective Coverage in Wireless Sensor Networks , 2008, 2008 Fourth International Conference on Natural Computation.

[40]  Nidal Nasser,et al.  Reliable location-aware routing protocol for mobile wireless sensor network , 2012, IET Commun..

[41]  Hu Bing,et al.  Design of Node Power Management in WSN Based on Ant Colony Algorithm , 2009, 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.

[42]  R. B. Patel,et al.  Neural Network Based Energy Efficient Clustering and Routing in Wireless Sensor Networks , 2009, 2009 First International Conference on Networks & Communications.

[43]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[44]  Perfecto Mariño Espiñeira,et al.  An Experimental Ad-Hoc WSN for the Instrumentation of Biological Models , 2010, IEEE Transactions on Instrumentation and Measurement.

[45]  Panagiotis Tsakalides,et al.  Training a SVM-based classifier in distributed sensor networks , 2006, 2006 14th European Signal Processing Conference.

[46]  S. Ramesh,et al.  Artificial Bee Colony algorithm to find optimum path for mobile agents in Wireless Sensor Networks , 2014, 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies.

[47]  Zhong Li,et al.  A Secure QoS Routing Algorithm Based on ACO for Wireless Sensor Network , 2013, 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing.

[48]  M. Stojanovic,et al.  Underwater acoustic networks , 2000, IEEE Journal of Oceanic Engineering.

[49]  Sajal K. Das,et al.  EBRP: Energy-Balanced Routing Protocol for Data Gathering in Wireless Sensor Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[50]  Selcuk Okdem,et al.  An application of Wireless Sensor Network routing based on Artificial Bee Colony Algorithm , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

[51]  Jindi Wang,et al.  Crop Leaf Area Index Observations With a Wireless Sensor Network and Its Potential for Validating Remote Sensing Products , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[52]  Rachid Beghdad,et al.  Securing Wireless Sensor Networks: A Survey , 2013, EDPACS.

[53]  J. Abawajy,et al.  An Alternative Node Deployment Scheme for WSNs , 2015, IEEE Sensors Journal.

[54]  Renjie Huang,et al.  Quality-Driven Volcanic Earthquake Detection Using Wireless Sensor Networks , 2010, 2010 31st IEEE Real-Time Systems Symposium.

[55]  M. Bala Krishna,et al.  Swarm intelligence-based topology maintenance protocol for wireless sensor networks , 2011, IET Wirel. Sens. Syst..

[56]  Jianhua Lu,et al.  Distributed coverage of forest fire border based on WSN , 2010, 2010 2nd International Conference on Industrial and Information Systems.

[57]  Ali Abedi,et al.  Distributed homology algorithm to detect topological events via wireless sensor networks , 2011, IET Wirel. Sens. Syst..

[58]  S. Das,et al.  Gateway node in WSN as the queen bee in a honey bee colony , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[59]  Wenbo Liu,et al.  Routing protocol based on genetic algorithm for energy harvesting-wireless sensor networks , 2013, IET Wirel. Sens. Syst..

[60]  Hao Guo,et al.  Real-Time Estimation of Sensor Node's Position Using Particle Swarm Optimization With Log-Barrier Constraint , 2011, IEEE Transactions on Instrumentation and Measurement.

[61]  Lixin Gao,et al.  Clustering routing algorithm for WSN based on improved ant colony algorithm , 2011, 2011 International Conference on Electrical and Control Engineering.

[62]  Dirk Pesch,et al.  Towards Energy Efficient Adaptive Error Control in Indoor WSN: A Fuzzy Logic Based Approach , 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

[63]  Lathies Bhasker Genetically derived secure cluster-based data aggregation in wireless sensor networks , 2014, IET Inf. Secur..

[64]  Kaveri Kadam,et al.  Application of machine learning (reinforcement learning) for routing in Wireless Sensor Networks (WSNs) , 2012, 2012 1st International Symposium on Physics and Technology of Sensors (ISPTS-1).

[65]  Lei Zhang,et al.  Chain-type wireless sensor network node scheduling strategy , 2014 .

[66]  Hsiang-Cheh Huang,et al.  A Framework for Prototyping Telecare Applications , 2014, J. Inf. Hiding Multim. Signal Process..

[67]  Ju-Jang Lee,et al.  Ant-Colony-Based Scheduling Algorithm for Energy-Efficient Coverage of WSN , 2012, IEEE Sensors Journal.

[68]  Cheng Pan,et al.  Task Allocation for Wireless Sensor Network Using Modified Binary Particle Swarm Optimization , 2014, IEEE Sensors Journal.

[69]  Martin Reisslein,et al.  A survey of multimedia streaming in wireless sensor networks , 2008, IEEE Communications Surveys & Tutorials.

[70]  Marco Zennaro,et al.  On Real-Time Performance Evaluation of Volcano-Monitoring Systems With Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[71]  Quan Pan,et al.  A Biologically Inspired Sensor Wakeup Control Method for Wireless Sensor Networks , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[72]  Arkady B. Zaslavsky,et al.  Sensing as a Service and Big Data , 2013, ArXiv.

[73]  C. S. Rai,et al.  Artificial Neural Networks for developing localization framework in Wireless Sensor Networks , 2014, 2014 International Conference on Data Mining and Intelligent Computing (ICDMIC).

[74]  P. Singh,et al.  TDOA Based Node Localization in WSN Using Neural Networks , 2013, 2013 International Conference on Communication Systems and Network Technologies.

[75]  Bernhard Walke,et al.  Mobile Web Services in Health Care and Sensor Networks , 2010, 2010 Second International Conference on Communication Software and Networks.

[76]  Emiliano Miluzzo,et al.  BikeNet: A mobile sensing system for cyclist experience mapping , 2009, TOSN.

[77]  Cong Jin,et al.  Localization Algorithm for Wireless Sensor Network Based on Genetic Simulated Annealing Algorithm , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[78]  Ravi Sankar,et al.  A Survey of Intrusion Detection Systems in Wireless Sensor Networks , 2014, IEEE Communications Surveys & Tutorials.

[79]  Ling Li,et al.  Local Semidefinite Programming-Based Node Localization System for Wireless Sensor Network Applications , 2014, IEEE Systems Journal.

[80]  Zhicheng Dai,et al.  WSN Cluster Head Selection Algorithm Based on Neural Network , 2010, 2010 International Conference on Machine Vision and Human-machine Interface.

[81]  Hwee Pink Tan,et al.  Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications , 2014, IEEE Communications Surveys & Tutorials.

[82]  Seyyed Javad Mirabedini,et al.  A new method for flat routing in wireless sensor networks using fuzzy logic , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[83]  Witold Pedrycz,et al.  An Evolutionary Multiobjective Sleep-Scheduling Scheme for Differentiated Coverage in Wireless Sensor Networks , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).