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Editorial Ubiquitous Context-Awareness and Wireless Sensor Networks Hwa-Young Jeong, 1 Yang Xiao, 2 Yuh-Shyan Chen, 3 and Xiaohong Peng 4 1 Humanitas College, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 130-701, Republic of Korea 2 Department of Computer Science, e University of Alabama, P.O. Box 870290, Tuscaloosa, AL 35487-0290, USA 3 Department of Computer Science and Information Engineering, National Taipei University, No. 151 University Road, San Shia District, New Taipei City 23741, Taiwan 4 School of Engineering & Applied Science, Aston University, Birmingham B4 7ET, UK Correspondence should be addressed to Hwa-Young Jeong; [email protected] Received 12 June 2014; Accepted 12 June 2014; Published 7 July 2014 Copyright © 2014 Hwa-Young Jeong et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In 1991, Mark Weiser proposed ubiquitous computing that is based on the network environment [1]. It is to create a user centric computing and its environment that is different from the traditional ways and computing models [2]. Ubiquitous computing service aims to develop the various ranges of sensors and networks available to provide timeless services and user’s location. A main issue of ubiquitous computing can be context awareness that it is able to provide various services to end users not only based on information but also based on potential contextual information [3]. In this content, wireless sensor network (WSN) is a hot issue and new trend of ubiquitous computing technologies to implement the ubiquitous society. WSNs are expected to be applied in many long-term applications such as scientific exploration, preventive maintenance, disaster management, emergency management, security and surveillance, environ- mental monitoring, monitoring in domestic situations, civil, biological, a wide range of military, and health-care appli- cations, and infrastructure protection. ese applications require efficient and flexible sensor networks [4]. So WSNs are composed of a collection of many sensor nodes that are deployed in a sensor field, each of which collects data and relays them to the base station (called a sink node) where data can be analyzed, applied, and used efficiently. Generally, a sensor node is made of a sensing device, a processing unit, a transceiver, and a power unit. e main task can be summarized by three keys: sensing, computing, and communicating [5]. A common architecture of WSNs is sink and sensor pair. e sensors deal with measuring the environmental status, which may change with time and space, collaborating with each sensor, and forwarding the measured data from the sensor to the sink. e sink is responsible for integrating, analyzing data received from sensors, and responding to users and applications [6]. Many Researchers study and propose their manuscripts and system using WSNs. Hung et al. [7] propose a mechanism to maintain tem- poral coverage for the quality of monitoring (QoM) using WSNs. Generally, in WSN environment that can require many sensors with powerful energy, they suggest a method to improve energy efficiency. Adhikari [8] reviews designing a good MAC (medium access control) protocol for a WSN. at is, he highlights the importance of MAC in WSN when we implement energy efficient medium access rules among the low capacity sensor nodes. In this technical trend, a context-aware system and appli- cation can be hot issue in ubiquitous computing environ- ment. at is, context-awareness techniques can provide both functional and nonfunctional system requirements. Aqeel- ur-Rehman et al. [9] review importance of context awareness in sensor network and ubiquitous computing. And they present an example that context-aware sensor grid frame- work should be composed of three layers, sensor network layer, grid computing layer, and context-aware application Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2014, Article ID 614023, 2 pages http://dx.doi.org/10.1155/2014/614023
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Page 1: Editorial Ubiquitous Context-Awareness and Wireless Sensor …eprints.aston.ac.uk/26073/1/Ubiquitous_context_awareness... · 2017. 2. 7. · Ubiquitous Context-Awareness and Wireless

EditorialUbiquitous Context-Awareness and Wireless Sensor Networks

Hwa-Young Jeong,1 Yang Xiao,2 Yuh-Shyan Chen,3 and Xiaohong Peng4

1 Humanitas College, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 130-701, Republic of Korea2Department of Computer Science, The University of Alabama, P.O. Box 870290, Tuscaloosa, AL 35487-0290, USA3Department of Computer Science and Information Engineering, National Taipei University, No. 151 University Road,San Shia District, New Taipei City 23741, Taiwan

4 School of Engineering & Applied Science, Aston University, Birmingham B4 7ET, UK

Correspondence should be addressed to Hwa-Young Jeong; [email protected]

Received 12 June 2014; Accepted 12 June 2014; Published 7 July 2014

Copyright © 2014 Hwa-Young Jeong et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.

In 1991, Mark Weiser proposed ubiquitous computing that isbased on the network environment [1]. It is to create a usercentric computing and its environment that is different fromthe traditional ways and computing models [2]. Ubiquitouscomputing service aims to develop the various ranges ofsensors and networks available to provide timeless servicesand user’s location. Amain issue of ubiquitous computing canbe context awareness that it is able to provide various servicesto end users not only based on information but also based onpotential contextual information [3].

In this content, wireless sensor network (WSN) is a hotissue and new trend of ubiquitous computing technologiesto implement the ubiquitous society. WSNs are expected tobe applied in many long-term applications such as scientificexploration, preventive maintenance, disaster management,emergency management, security and surveillance, environ-mental monitoring, monitoring in domestic situations, civil,biological, a wide range of military, and health-care appli-cations, and infrastructure protection. These applicationsrequire efficient and flexible sensor networks [4]. So WSNsare composed of a collection of many sensor nodes thatare deployed in a sensor field, each of which collects dataand relays them to the base station (called a sink node)where data can be analyzed, applied, and used efficiently.Generally, a sensor node is made of a sensing device, aprocessing unit, a transceiver, and a power unit. The maintask can be summarized by three keys: sensing, computing,and communicating [5].

A common architecture of WSNs is sink and sensor pair.The sensors deal with measuring the environmental status,which may change with time and space, collaborating witheach sensor, and forwarding the measured data from thesensor to the sink. The sink is responsible for integrating,analyzing data received from sensors, and responding to usersand applications [6].

Many Researchers study and propose their manuscriptsand system using WSNs.

Hung et al. [7] propose a mechanism to maintain tem-poral coverage for the quality of monitoring (QoM) usingWSNs. Generally, in WSN environment that can requiremany sensors with powerful energy, they suggest a methodto improve energy efficiency.

Adhikari [8] reviews designing a good MAC (mediumaccess control) protocol for a WSN. That is, he highlightsthe importance of MAC inWSN when we implement energyefficient medium access rules among the low capacity sensornodes.

In this technical trend, a context-aware system and appli-cation can be hot issue in ubiquitous computing environ-ment.That is, context-awareness techniques can provide bothfunctional and nonfunctional system requirements. Aqeel-ur-Rehman et al. [9] review importance of context awarenessin sensor network and ubiquitous computing. And theypresent an example that context-aware sensor grid frame-work should be composed of three layers, sensor networklayer, grid computing layer, and context-aware application

Hindawi Publishing CorporationInternational Journal of Distributed Sensor NetworksVolume 2014, Article ID 614023, 2 pageshttp://dx.doi.org/10.1155/2014/614023

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2 International Journal of Distributed Sensor Networks

layer. Soldatos et al. [3] highlight that context awarenessis a core characteristic of ubiquitous computing systems.Ramesh et al. [10] propose an application for context-awarecomputing (CAC) forWSN (CAC-WSN). Pignaton de Freitaset al. [11] develop a service using vehicular sensor network(VSN) and vehicular ad hoc network (VANET) consideredcontext awareness.

By getting many researches, we can see that ubiquitouscontext-awareness and wireless sensor networks are newtechnical trend and key words, nowadays. And we hope thatmany researchers and readers are interested in this area.

Hwa-Young JeongYang Xiao

Yuh-Shyan ChenXiaohong Peng

References

[1] H. Cai, F. Pu, R. Huang, and Q. Cao, “A novel ANN-based ser-vice selection model for ubiquitous computing environments,”Journal of Network and Computer Applications, vol. 31, no. 4, pp.944–965, 2008.

[2] H.Wang, Y. Zhang, and J. Cao, “Access control management forubiquitous computing,” Future Generation Computer Systems,vol. 24, no. 8, pp. 870–878, 2008.

[3] J. Soldatos, I. Pandis, K. Stamatis, L. Polymenakos, and J. L.Crowley, “Agent based middleware infrastructure for auto-nomous context-aware ubiquitous computing services,” Com-puter Communications, vol. 30, no. 3, pp. 577–591, 2007.

[4] J. Tian, W. Zhang, G. Wang, and X. Gao, “2D k-barrierduty-cycle scheduling for intruder detection in wireless sensornetworks,” Computer Communications, vol. 43, pp. 31–42, 2014.

[5] H. Safa, “A novel localization algorithm for large scale wirelesssensor networks,” Computer Communications, vol. 45, pp. 32–46, 2014.

[6] B. C. P. Lau, E. W. M. Ma, and T. W. S. Chow, “Probabilisticfault detector for wireless sensor network,” Expert Systems withApplications, vol. 41, no. 8, pp. 3703–3711, 2014.

[7] L.-H. Hung, Y.-W. Huang, and C.-C. Lin, “Temporal coveragemechanism for distinct quality ofmonitoring in wirelessmobilesensor networks,” Ad Hoc Network, 2014.

[8] R. Adhikari, “A meticulous study of various medium accesscontrol protocols for wireless sensor networks,” Journal ofNetwork and Computer Applications, vol. 41, pp. 488–504, 2014.

[9] Aqeel-ur-Rehman, A. Z. Abbasi, N. Islam, and Z. A. Shaikh,“A review of wireless sensors and networks’ applications inagriculture,” Computer Standards and Interfaces, vol. 36, pp.263–270, 2014.

[10] M. V. Ramesh, A. Shanmughan, and R. Prabha, “Context awaread hoc network for mitigation of crowd disasters,” Ad HocNetworks, vol. 18, pp. 55–70, 2013.

[11] E. Pignaton de Freitas, T. Heimfarth, F. Rech Wagner, C.E. Pereira, and T. Larsson, “Exploring geographic contextawareness for data dissemination on mobile ad hoc networks,”Ad Hoc Networks, vol. 11, no. 6, pp. 1746–1764, 2013.

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