Part of the lecture notes in computer science book series lncs, volume 4505. Optimal energy resources allocation method of wireless sensor. Energyefficient monitoring of extreme values in sensor networks. In wireless sensor networks, filterbased top query approaches are the stateoftheart solutions and have been extensively researched in the literature, however, they are very sensitive to the network parameters, including the size of the network, dynamics of the sensors. In the wireless sensor database, top k monitoring query is an important application and has received much attention in the research community.
In the following, we present a novel energyefficient continuous skyline query method. May 08, 2011 efficient monitoring algorithm for fast news alerts top k monitoring in wireless sensor networks frequent closed sequence mining without candidate maintenance maintaining strong cache consistency for the domain name system efficient skyline and top k retrieval in subspaces rule extraction from support vector machines. Younis, 2004 energyaware routing of timeconstrained traffic in. A query of this type continuously returns a list of k ordered nodes with the highest or lowest sensor readings. Wolfson, concurrency control using locks in distributed databases, ph. Because of advances in microsensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications. Distributed packet buffers for highbandwidth switches and routers. Distributed processing of probabilistic top k queries in wireless sensor networks. This paper exploits the semantics of top k query and proposes an energyefficient monitoring approach called fila. Please use the summary template to write the reading summaries note. Sylvia ratnasamy, brad karp, scott shenker, deborah estrin, ramesh govindan, li yin, and.
This research builds on an existing wireless sensor database, tinydb, and equips tinydb with the function of performing top k monitoring queries. Jpj093 distributed processing of probabilistic topk queries in wireless sensor networks. Discovery and verification of neighbor positions in mobile ad hoc networks. Knearest neighbor based missing data estimation algorithm. Preprint for ieee internet of things journal 1 probabilistic. Proceedings of spie the international society for optical engineering. Wireless sensor networks have been widely used for civilian and military. This paper exploits the semantics of topk query and proposes a novel energyefficient. Data aggregation has been considered as an effective way to decrease the data to be transferred in sensor networks. Processing topk monitoring queries in wireless sensor. Prior to that, he received his secondary education from suzhou high school. Secure top k query processing via untrusted locationbased service providers. To solve the problem, the missing data should be estimated as accurately as possible.
Csci 599 fall 2002 university of southern california. Xu, the international conference on mobile data management mdm 2010, kansas city, missouri, usa, may 2326, 2010, pp. The purpose of this guide is to consolidate a generic methodology for the design and implementation of wsns for monitoring civil engineering. Wu, vehicular adhocsensor networks in smart cities, the philosophy of missionoriented wireless sensor networks, h. Nevertheless, wearable sensor systems usually have features like frequently dynamic changes of topologies and data over a large range. Conventional topk query processing algorithms install a filter at each sensor node and suppress unnecessary sensor updates. Mobile adhoc and sensor networks it seems that youre in usa. Package includes full source code, documentation, ppt and. To this end, proper communications protocols design plays a crucial role in fulfilling user.
Knearest neighbor based missing data estimation algorithm in. Advanced technologies in ad hoc and sensor networks collects selected papers from the 7th china conference on wireless sensor networks cwsn20 held in qingdao, october 1719, 20. Preprint for ieee internet of things journal 2 systems, rtree 22 is one of the most popular indexing structure to improve the performanceof query processing. Monitoring extreme values max or min is a fundamental problem in wireless sensor networks and in general, complex dynamic systems. His research interests include wireless communications, mimo systems, ofdm systems, and wireless sensor networks. Energyefficient skyline queries over sensor network using. In this paper, a knearest neighbor based missing data estimation algorithm is proposed based on the temporal and. Aug, 2012 current research in communications are in the areas of mimo systems, multicarrier systems including ofdm and cdma, and cleaned equalization coding. Mobile adhoc and sensor networks second international. Monitoring topk query inwireless sensor networks request pdf.
Introduction wireless camera sensor networks networks comprising lowpower camera sensors have received considerable attention over recent years, as a result of rapid advances in camera sensor technologies, embedded platforms, and lowpower wireless radios. Wireless devicetodevice communications and networks by. This book constitutes the refereed proceedings of the second international conference on mobile adhoc and sensor networks, msn 2006, held in hong kong, china in december 2006. Minji wu, jianliang xu, xueyan tang and wang lee, 2007, topk monitoring in wireless sensor networks, ieee transactions on knowledge and data engineering, 19, 7, pp. Topk monitoring in wireless sensor networks abstract. Enroute data filtering technique for maximizing wireless sensor. Shen, trustbased cooperative communications in wireless multihop networks, in. Pdf realtime data acquisition in wireless sensor networks. Ieee 201718 final year project list by igeeks technologies,bangalore. Dataaware topk monitoring in wireless sensor networks. Wireless sensor networks are revolutionizing the ways to collect and use information from the physical world. Topk monitoring is important to many wireless sensor applications. Final year wireless sensor network projects in mumbai.
Conventional top k query processing algorithms install a filter at each sensor node and suppress unnecessary sensor updates. Achieving source location privacy protection in monitoring wireless. C monitoring topk query in wireless sensor network. Especially, it becomes worse, when the variation ratio of topk result is higher. Study on querybased information extraction in iotintegrated. Distributed cooperative caching in social wireless networks. Adaptive data collection strategies for lifetimeconstrained wireless sensor networks. A feedbackenhanced framework for routing in wireless sensor networks.
Energyefficient monitoring of extreme values in sensor. The network employs the knearest neighbor tracking approach to track the assets. Wu, cognitive radio networks crn technologies and applications, emerging wireless communication and network technologies. Optimizing lifetime for continuous data aggregation with precision guarantees in wireless sensor networks. While, research in the networking area comprises of scheduling and security. The internet of thingsintegrated sensor nodes iotwsn is widely adopted in variety of applications such as fire detection, gas leakage detection in. Topk monitoring in wireless sensor networks department of. Abstract abstracttopk monitoring is important to many wireless sensor applications. Venugopal k r and l m patnaik, soft computing approach for mining topk ranked webpages from www, gests international transactions on. You are expected to read papers in the required reading list, but only write summary for one paper selected from the list of 23 required readings associated with each lecture. Liu, continuous mass data collection in sensor networks, modeling and simulation of wireless networks, nova science publisher, edited by geyong min, yi pan and pingzhi fan, 2006.
Proceedings of the 4th international conference on radio and. Inventive communication and computational technologies. Study on querybased information extraction in iotintegrated wireless sensor networks. A cross pruning framework for topk data collection in wireless sensor networks with x.
Download intrusion detection in wireless sensor networks. Topk monitoring queries for wireless sensor database systems. Jpj094 dynamic control of coding for progressive packet arrivals in dtns. Covering the fundamental theory together with the state of the art in research and development, this practical guide provides the techniques needed to design, analyze, and optimize devicetodevice d2d communications in wireless networking. Book title proceedings of the 2003 acm sigmod international conference on management of data. Distributed processing of probabilistic topk queries in wireless sensor networks. Profiling top most inflential blogger using synonym substitution approach, ictact journal on soft computing, issn. Wearable sensor systems consist of devices with one or many sensor nodes. Clickmyproject is an ecommerce website, you can purchase final year projects on all domain. With the recent advances in radiofrequency identification rfid, lowcost wireless sensor devices, and web technologies, the internet of things iot approach has gained momentum in connecting everyday objects to the internet and facilitating machinetohuman and machinetomachine communication with the physical world. The mission of the sensor signal and information processing sensip center is to develop signal and information processing foundations for nextgeneration integrated multidisciplinary sensing applications integration focus areas include biomedicine, defense, homeland security, sustainability, environmental technologies, interactive media, wireless communications, and vehicular systems. In wireless sensor networks, filterbased top query approaches are the stateoftheart solutions and have been extensively researched in the literature, however, they are very sensitive to the network parameters, including the size of the network, dynamics of the sensors readings and declines in the overall range of all the readings. Fila uses two algorithms to ensure the correctness and efficiency of the approach. Distributed adaptive topk monitoring in wireless sensor.
The use of wireless sensor networks wsns in monitoring. Klusch, semanticdriven kwalker search in unstructured peertopeer networks, in ieee computer society stc on social networking eletter, ieee 2014. Xu joined the computer science department of hong kong baptist university hkbu after he received his phd degree in computer science from hong kong university of science and technology in 2002. Research in the network security area focuses on privacypreserving methods for sensor networks and social networks as applied to mobile users. Data aggregation and forwarding route control for efficient data gathering in dense mobile wireless sensor networks, book chapter chapter 5, pp. Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Random and directed walkbased top queries in wireless. In this work, a random walkbased top query approach. Part of the lecture notes in computer science book series lncs, volume.
A basic implementation of monitoring topk query would be to use a centralized approach where all sensor readings are collected by the base station, which then computes the topk. An improved comentropybased pesa algorithm, springerverlag publisher, springer lecture notes in electrical engineering, vol. Nowadays, wireless sensor networks wsns emerge as an active research area in which. A design and implementation of a novel wireless sensor network technique. Topk monitoring queries for wireless sensor database. A basic implementation of monitoring top k query would be to use a centralized approach where all sensor readings are collected by the base station, which then computes the top k. The correctness of the topk result is ensured if all sensor.
Tech java projects 20142015 selected projects key aggregate cryptosystem for scalable data sharing in cloud storage. Proceedings of the 4th international conference on radio. In recent years, wireless sensor network has been widely used in military and. Wireless sensor networks wsns can be defined as a selfconfigured and infrastructureless wireless networks to monitor physical or environmental conditions. Vasanthakumar g u, priyanka r, vanitha raj k c, bhavani s, asha rani b r, p deepa shenoy and k r venugopal, ptmibss. C monitoring topk query in wireless sensor networks. Wireless sensor networks for civil infrastructure monitoring provides expert guidance on the selection and use of wireless sensor network wsn technology for the structural monitoring of both existing infrastructure and new construction projects. Top k queries are important to many wireless sensor applications. Decentralized access control with anonymous authentication of data stored in clouds. Abstract wireless sensor networks are used in a large array of applications to capture, collect, and analyze physical environmental data. Tan, a general framework for efficient continuous multidimensional topk query processing in sensor networks, in ieee transactions on parallel and distributed systems.
The result of simulation experiment proved that the lifetime of wireless sensor networks. Processing topk monitoring queries in wireless sensor networks. This research builds on an existing wireless sensor database, tinydb, and equips tinydb with the function of performing topk monitoring queries. Especially, it becomes worse, when the variation ratio of top k result is higher. Knearest neighbors knn 15 is one of the top 10 data mining algorithms used. Wireless sensor networks wsns consist of many tiny wireless sensors. This problem presents very different algorithmic challenges from aggregate and selection queries, in the sense that an individual node cannot by itself determine its inclusion in the query result. Scheduling algorithms are designed to improve the performance of communication networks and smartgrids. A cross pruning framework for top k data collection in wireless sensor networks with x. Continuous monitoring of knn queries in wireless sensor networks. Abstract topk monitoring is important to many wireless sensor applications.
Topk queries are important to many wireless sensor applications. Wireless communications and sensor networks sensor, signal. Dc 1 jun 2019 preprint for ieee internet of things journal 1 probabilistic top k dominating query monitoringover multiple uncertain iot data streams in edge. A wsn can be treated as a distributed database to respond to user queries. The basic idea is to install a lter at each sensor node to suppress unnecessary sensor updates. Most of the papers listed below are from acm or ieee conferences or journals. Abstracttopk monitoring is important to many wireless sensor applications. Most critical sensor readings topk monitoring in environment monitoring system are important to many wireless sensor applications.
College of engineering research output yonsei university. The epub format uses ebook readers, which have several ease of reading features. Monitoring topk query in wireless sensor networks citeseerx. Wireless sensor networks are used for distributed estimation and distributed detection. Prior to joining dayeh, he worked at the control data company taiwan branch as a technical manager from 1985 to 1996. Saerens,a timebased collective factorization for topic discovery and monitoring in news, in proceedings of acm www 2014. Efficient continuous skyline query processing in wireless sensor. Citeseerx topk monitoring in wireless sensor networks. Chen has published numerous sciei journal papers and holds several patents in taiwan. Some application fields include tracking, monitoring, surveillance, building. This paper exploits the semantics of topk query and proposes an energyefficient monitoring approach called fila. This paper exploits the semantics of topk query and proposes a novel energyefficient monitoring approach, called fila. Klusch, semanticdriven k walker search in unstructured peertopeer networks, in ieee computer society stc on social networking eletter, ieee 2014. List of papers published in international journals.
Many existing sensor systems instruct sensor nodes to report their measurements to central repositories outside the network, which is expensive in energy cost. Top k monitoring queries are useful in many wireless sensor network applications. To process these queries, a wellknown approach is to install a filter at each sensor node to avoid unnecessary transmissions of sensor readings. He obtained his beng degree in computer science and engineering from zhejiang university, hangzhou, china in 1998. In real world, these wearable sensor systems usually form a. Soyturk and altilar introduce a novel real time data acquisition approach. Topk monitoring queries are useful in many wireless sensor network applications. Wireless sensor networks for earthquake early warning systems of. This new technology has resulted in significant impacts on a wide array of applications in various fields, including military, science, industry, commerce, transportation, and healthcare.
Current research in communications are in the areas of mimo systems, multicarrier systems including ofdm and cdma, and cleaned equalization coding. The book features stateoftheart studies on sensor networks in china with the theme of advances in wireless sensor networks of china. Jpj093 distributed processing of probabilistic top k queries in wireless sensor networks. Nov 15, 2014 distributed cooperative caching in social wireless networks. The basic idea is to install a filter at each sensor node to suppress unnecessary sensor updates. There is a wellknown approach called fila to process this kind of queries. Source detection based local monitoring in wireless sensor networks, in the proceedings of ieee tencon 2015, macau. Its basic idea is to install a filter at each sensor node to avoid unnecessary transmissions of sensor readings. Book title mobile adhoc and sensor networks book subtitle second international conference, msn 2006, hong kong, china, december. Abstracttoday, we can witness wireless sensor networks. Efficient monitoring algorithm for fast news alerts topk monitoring in wireless sensor networks frequent closed sequence mining without candidate maintenance maintaining strong cache consistency for the domain name system efficient skyline and topk retrieval in subspaces rule extraction from support vector machines. Kmedoids algorithm can cluster all nodes and distribute the nodes with. Presently, wireless sensor networks most challenging applications are related to mobile sinks or even nodes, monitoring and intervening in critical areas.
In many applications of sensor networks including environmental monitoring and surveillance, a large volume of sensed data generated by sensors needs to be either collected at the base station or aggregated within the network to respond to user queries. Distributed ehealth care system using soa serviceoriented distributed data mining. Intrusion detection in wireless sensor networks codes and scripts downloads free. However, they have some drawbacks that the sensor nodes consume energy extremely to probe sensor reading or update filters.
This paper exploits the semantics of top k query and proposes a novel energyefficient monitoring approach, called fila. Wireless sensor networks wsn the many tiny principle. Top k monitoring is important to many wireless sensor applications. Particularly for wearable sensor systems, smaller battery has less energy, which makes energy conservation in data transmission more important. In wireless sensor networks, the missing of sensor data is inevitable due to the inherent characteristic of wireless sensor networks, and it causes many difficulties in various applications.
The goal of the eknowledge wireless health care system system is to improve the efficiency of the healthcare system by reducing the overall time and cost used to create documents and retrieve information. Distributed query processing in flashbased sensor networks. Wireless, mobile, ad hoc and sensor networks, kluwer, author 3. Wireless communications and sensor networks sensor. Prioritybased topk monitoring in wireless sensor networks. Each sensor node is usually equipped with a lowspeed microprocessor, limited memory, and a radio transceiver and receiver 1,2,3. This paper exploits the semantics of topk query and proposes a novel energyefcient monitoring approach, called fila. In the wireless sensor database, topk monitoring query is an important application and has received much attention in the research community.