@InProceedings{angeline:1997:tcbbe, author = "Peter J. Angeline", title = "Subtree Crossover: Building Block Engine or Macromutation?", booktitle = "Genetic Programming 1997: Proceedings of the Second Annual Conference", editor = "John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo", year = "1997", month = "13-16 " # jul, keywords = "genetic algorithms, genetic programming", pages = "9--17", address = "Stanford University, CA, USA", publisher_address = "San Francisco, CA, USA", publisher = "Morgan Kaufmann", URL = "http://www.natural-selection.com/Library/1997/gp97a.zip broken", size = "pages ", notes = "GP-97 interestings discussion regarding the qualities of Weak and Strong Headless Chicken methods versus Subtree Crossover - uses 6bit parity, intertwined spiral and sunspot problems" } @InProceedings{rshannon:2006:wsecuc, author = {R Shannon, A Quigley, P Nixon}, title = {Software Considerations for Automotive Pervasive Systems}, booktitle = {Workshop on Software Engineering Challenges for Ubiquitous Computing,Lancaster, UK, June 1-2, 2006 }, year = {2006}, url ={http://yourhtmlsource.com/phdblog/wp-content/uploads/2006/06/seuc2006-shannon-quigley-nixon.pdf} } @article{ANSWER:1222957, author = {Stephan Olariu and Mohamed Eltoweissy and Mohamed Younis}, title = {ANSWER: AutoNomouS netWorked sEnsoR system}, journal = {J. Parallel Distrib. Comput.}, abstract = {The main contribution of this work is to propose a new concept: the AutoNomouS Wireless sEnsor netwoRk (ANSWER) whose mission is to provide in-situ users with secure information that enhances their context awareness. ANSWER finds immediate applications to both overt and covert operations ranging from tactical battlefield surveillance to crisis management and homeland security. ANSWER is capable of performing sophisticated analyses for detecting trends and identifying unexpected, coherent, and emergent behavior.}, volume = {67}, number = {1}, year = {2007}, issn = {0743-7315}, pages = {111--124}, doi = {http://dx.doi.org/10.1016/j.jpdc.2006.08.013}, publisher = {Academic Press, Inc.}, address = {Orlando, FL, USA}, } @InProceedings{razzaque::2005:ijcai, author = {MA Razzaque, S Dobson, P Nixon}, title = {Categorization and Modelling of Quality in Context Information}, booktitle = {Proceedings of the IJCAI 2005 Workshop on AI and Autonomic Communications}, year = {2005}, abstract = {Pervasive Computing environments are dynamic and heterogeneous. They are required to be self-managing and autonomic, demanding minimal user’s guidance. In pervasive computing, contextaware adaptation is a key concept to meet the varying requirements of different clients. In order to enable context-aware adaptation, context information must be gathered and eventually presented to the application performing the adaptation. It is clear that some form of context categorization will be required given the wide range of heterogeneous context information. Categorizations can be made from different viewpoints such as conceptual viewpoint, measurement viewpoint, temporal characteristics viewpoint and so on. To facilitate the programming of context-aware applications, modelling of contextual information is highly necessary. Most of the existing models fail both to represent dependency relations between the diverse context information, and to utilize these dependency relations. A number of them support narrow classes of context and applied to limited types of application, and most do not consider the issue of Quality of Contextual Information (QoCI). Along with a detailed context categorization, this paper will analyse existing context models and discuss their handling of dependency issues. It uses this analysis to derive a methodology for quality context information modelling in context aware computing.}, notes = {Deals with Quality of Contextual Information: combines two viewpoints: conceptual and measurement, describes: Set theory, directed graph, first order logic (context(Type,Subject, Relator, Oject) = context(Application, Powerpoint, Is, Running) ), preferences and user profiles - Composite Capability/Preference Profiles - CC/PP - as defined by W3C in RDF. Comprehensive Structured Context Profiles - CSCP - based in RDF too }, conclusions = {future context models should allow for dependancy relations. }, } @inproceedings{kafil:autonomoussensors:1031436, author = {Kafil M. Razeeb and Stephen Bellis and Brendan O'Flynn and John Barton and Kieran Delaney and Cian O'Mathuna}, title = {A hybrid network of autonomous sensor nodes}, booktitle = {EUSAI '04: Proceedings of the 2nd European Union symposium on Ambient intelligence}, dateread = {October 2007}, year = {2004}, isbn = {1-58113-992-6}, pages = {69--70}, location = {Eindhoven, Netherlands}, doi = {http://doi.acm.org/10.1145/1031419.1031436}, publisher = {ACM Press}, address = {New York, NY, USA}, notes = {Short 2 page poster paper. compares hardware specifications and capabilities of sensor nodes}, } @Article{michahelles:2002:PUCv4n6, author = {F Michahelles, M Samulowitz}, title = {Smart CAPs for Smart Its-Context Detection for Mobile Users}, journal = {Personal and Ubiquitous Computing}, year = {2002}, key = {Context awareness, Perceptual computing, Sensor networks, Smart infrastructure}, volume = {6}, number = {4 }, pages = {269-275}, month = {September}, note = {Unique packet in wireless network detects topology asnd context, pull and push versions to deliver context upon request, or upon an event occurring. Packet has a stack of where it has been, so as not to visit the same nodes again/too often. Uses Smart-its and sCAPS (context aware packets) further work: Future directions of the work will focus on the following issues: (1) online reconfiguration of sensors for different push behaviors; (2) merging strategies for related sCAPs; (3) spreading strategies of sCAPs for parallelizing the context detection process; (4) online alterable rewriting rules; and finally, (5) tackling communication breakdowns [23,24].}, abstract ={Context detection for mobile users plays a major role for enabling novel, human-centric interfaces. For this, we introduce a context detection scheme applicable in a self-organized sensor network, which is formed of disseminated, computer empowered sensors, referred to as Smart-Its [1]. Context-detection takes place without requiring any central point of control, and supports push as well as pull modes. Our solution is based on an in-network composition approach relying on so-called smart Context-Aware Packets (sCAPs). These packets act as a uniform interchange format, and allow single sensors to share sensed data and to cooperate to build up a meaningful context model from manifold inputs. sCAPs travel through the sensor network governed by an enclosed retrieving plan, specifying which sensors to visit in order to gain a specific piece of context information. For enhanced flexibility, the retrieving plan itself may be dynamically altered in accordance with past sensor readings.}, url = {http://www.springerlink.com/index/42MN84X1FAHKTECX.pdf}, dateread = {october 2007} } @inproceedings{Estrin99e, citedby = {1216 gScholar}, dateread = {october 2007}, notes = {Discusses location tracking sensors deployed in hostile environments, and suggests mechanisms for adaption, discusses and links to many clustering algorithms, MAY BE INTERESTING FOR NATURAL COMPUTING}, abstract = {Networked sensors-those that coordinate amongst themselves to achieve a larger sensing task-will revolutionize information gathering and processing both in urban environments and in inhospitable terrain. The sheer numbers of these sensors and the expected dynamics in these environments present unique challenges in the design of unattended autonomous sensor networks. These challenges lead us to hypothesize that sensor network coordination applications may need to be structured differently from traditional network applications. In particular, we believe that localized algorithms (in which simple local node behavior achieves a desired global objective) may be necessary for sensor network coordination. In this paper, we describe localized algorithms, and then discuss directed diffusion, a simple communication model for describing localized algorithms.}, author = "Deborah Estrin and Ramesh Govindan and John Heidemann and Satish Kumar", title = "Next Century Challenges: Scalable Coordination in Sensor Networks", booktitle = "Proceedings of the {ACM/IEEE} International Conference on Mobile Computing and Networking", year = "1999", publisher = "{ACM}", month = "August", pages = "263--270", keywords = "xxx", copyrightholder = " Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that new copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request Permissions from Publications Dept, ACM Inc., Fax +1 (212) 869--0481, or permissions@acm.org. ", url = "http://www.isi.edu/~johnh/PAPERS/Estrin99e.html", psurl = "http://www.isi.edu/~johnh/PAPERS/Estrin99e.ps.gz", pdfurl = "http://www.isi.edu/~johnh/PAPERS/Estrin99e.pdf", xorganization = "USC/Information Sciences Institute", } @Article{survey:akyildiz:10.1109/MCOM.2002.1024422, author = {IF Akyildiz, W Su, Y Sankarasubramaniam, E Cayirci}, title = {A survey on sensor networks}, citedby = {1000 plus}, journal = {Communications Magazine, IEEE}, year = {2002}, abstract = {"The advancement in wireless communications and electronics has enabled the development of low-cost sensor networks. The sensor networks can be used for various application areas (e.g., health, military, home). For different application areas, there are different technical issues that researchers are currently resolving. The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections. This article also points out the open research issues and intends to spark new interests and developments in this field."}, volume = {40}, number = {8}, pages = {102- 114}, month = {Aug }, notes = {"Discusses many types of sensor networks, and studies the OSI PROTOCOL STACK, MAC Schemes including CSMA, HyBriod TDMA/FDMA, SMACS,EAR. Considers power consumption, and questions whether switchin off radio in fact increases energy consumption. Also Discusses error control, Forward Error Control FEC, and ARQ Automatic Repear reQuest. Discusses management protocols: SMP Sensor Management Protocol,TADAP Task Assignment and Data Advertisment Protocol, SQDDP SEnsor Query and Data Dissemination Protocol, SQTL Sensor Query and tasking language. "}, url = {http://ieeexplore.ieee.org/iel5/35/22021/01024422.pdf?tp=&isnumber=&arnumber=1024422}, } @inproceedings{psonetwork:kadrovach:508968, author = {B. Anthony Kadrovach and Gary B. Lamont}, title = {A particle swarm model for swarm-based networked sensor systems}, booktitle = {SAC '02: Proceedings of the 2002 ACM symposium on Applied computing}, year = {2002}, isbn = {1-58113-445-2}, pages = {918--924}, location = {Madrid, Spain}, doi = {http://doi.acm.org/10.1145/508791.508968}, publisher = {ACM Press}, address = {New York, NY, USA}, notes = {"Swarm Sensor Classification, algorithmic suggestions for calculating parameters, classification of swarms by triplets - e.g. wolves - regional ordered tight, fish: Global Ordered Loose"}, } @article{shane:ieeIS:2004, author = {Shane M. Farritor and Steve Goddard}, title = {Intelligent Highway Safety Markers}, journal = {IEEE Intelligent Systems}, volume = {19}, number = {6}, year = {2004}, issn = {1541-1672}, pages = {8--11}, doi = {http://dx.doi.org/10.1109/MIS.2004.66}, publisher = {IEEE Educational Activities Department}, address = {Piscataway, NJ, USA}, citedby = {3}, } @Misc{ecj:website, title = {ECJ Website}, howpublished = {http://cs.gmu.edu/~eclab/projects/ecj/}, note = {Last accessed 06 Nov 2007}, } @Misc{jswarm:website, title = {JSwarm-PSO Website}, howpublished = {http://jswarm-pso.sourceforge.net/}, note = {Last accessed 06 Nov 2007}, } @Misc{mstabeler:website:sensorpso, author = {Matt Stabeler}, title = {Sensor PSO}, howpublished = {http://mattstabeler.co.uk/projects/sensorpso/}, } @Misc{shimmer:website, title = {Hardware - TRIL Centre}, howpublished = {http://www.trilcentre.com/technology\_platform/hardware.568.460.html}, note = {Last accessed 20 Nov 2007} } @Misc{boids:site, title = {"Boids (Flocks, Herds, and Schools: a Distributed Behavioral Model)"}, howpublished = {"Internet"}, month = {"October"}, year = {"2007"}, url = {"url: http://www.red3d.com/cwr/boids/"} } @Misc{psopt:website, title = {Christian Borgelt's Webpages, PSOPT Website}, author = {Christian Borgelt}, howpublished = {http://www.borgelt.net//psopt.html}, note = {Last accessed 06 Nov 2007}, } @Misc{ bulusu:estrin:ISCTA:2001, author = {"N Bulusu, D Estrin, L Girod, J Heidemann"}, title = {"Scalable coordination for wireless sensor networks: self-configuring localization systems"}, howpublished = {"International Symposium on Communication Theory and Applications, ISCTA 2001"}, year = {2001}, cited = {122}, month = {"July"} } @Article{shen:PC:2001, author = {"Chien-Chung Shen Srisathapornphat, C. Jaikaeo, C."}, title = {"Sensor information networking architecture and applications"}, journal = {"Personal Communications, IEEE [see also IEEE Wireless Communications]"}, year = {2001}, key = {"distributed object management information networks internetworking land mobile radio mobile computing query languages sensors "}, volume = {8}, month = {aug}, citedby = {160}, } @Article{sohrabi:pcIEEE:2000, author = {"Sohrabi, K. Gao, J. Ailawadhi, V. Pottie, G.J. "}, title = {"Protocols for self-organization of a wireless sensor network"}, journal = {"Personal Communications, IEEE [see also IEEE Wireless Communications]"}, year = {2000}, key = {"cellular radio protocols radio networks self-adjusting systems sensors signal processing telecommunication network routing "}, volume = {7}, number = {5}, pages = {16-27}, month = {oct}, doi = {"10.1109/98.878532"}, citedby = {602}, } @InProceedings{ji:nscIEEE:2004, author = {"Chunlin Ji", "Yangyang Zhang ", "Shixing Gao ", "Ping Yuan ", "Zhe Li"}, title = {"Particle Swarm Optimization for Mobile Ad Hoc Networks Clustering"}, booktitle = {"Networking, Sensing and Control, 2004 IEEE International Conference on"}, pages = {372-375}, year = {2004}, volume = {1}, number = {1}, address = {"Sch. of Inf. Sci. Eng., Northeastern Univ., Shen Yang, China"}, month = {March}, abstract = {"A mobile ad hoc network is an infrastructureless wireless network that can support highly dynamic mobile nodes. The multi-hop feature of an ad hoc network suggests the use of clustering to simplify routing and management. In this work, we propose a revised Particle Swarm Optimization (PSO) to one clustering algorithm, Weighted Clustering Algorithm (WCA), in ad hoc networks. First, we revise the WCA to be suitable for densely populated areas. Then, Divided Range Particle Swarm Optimization (DRPSO) algorithm was applied to this revised WCA optimization. The individuals (particles) were divided in to groups running in four neighborhood nodes simultaneously, extending the algorithm in a distributed computing manner. Simulation study showed that our approach is efficient and effective, especially when the distribution of mobile nodes is dense."}, notes = {"Weighted Clusters"}, doi = {"10.1109/ICNSC.2004.1297465"} } @ARTICLE{deploymenteffects:ohare:ieee:ucd:1595549, title={The Effects of Deployment Irregularity on Coverage in Wireless Sensor Networks}, author={ Marsh, D.; Tynan, R.; O'Hare, G.M.P.; Ruzzelli, A.}, journal={Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on}, year={5-8 Dec. 2005}, volume={}, number={}, pages={ 13-18}, doi={}, ISSN={}, }