Abstract
The objects of the Internet of Things will be empowered by embedded devices whose constrained resources will need to be managed efficiently. It is envisioned that these devices will be able to form ad-hoc networks, and that the connection from these networks to the Internet of Things infrastructure will not always be possible. In this chapter we propose the use of clustering, software agents and synchronisation techniques in order to overcome the challenges of managing the resources of the Internet of Things objects. We argue that clustering will be beneficial to reduce the energy expenditure and improve the scalability and robustness of the object networks. Software agents will aide in the automation of task, both for the objects and the Internet of Things users. Finally, synchronisations techniques will be necessary to address the various challenges of harmonising plenty of copies of object data with potentially partially disconnected Internet of Things architecture components.
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References
Armenio F, Barthel H et al. (2009) The EPCglobal Architecture Framework. http://www.epcglobalinc.org/standards/architecture/architecture_1_3-framework-20090319.pdf. Accessed 11 June 2010
Assis Silva FM, Krause S (1997) A distributed Transaction Model Based on Mobile Agents. In: Rothermel K, Popescu-Zeletin R (eds) Proceedings of the First International Workshop on Mobile Agents. Springer, Berlin-Heidelberg
Basagni S (1999) Distributed Clustering for Ad Hoc Networks. Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks, Fremantel
Bell D, Grimson J (1992) Distributed Database Systems. Addison Wesley Publishers Ltd.
Bonuccelli M, Ciuffoletti A, Clo M, Pelagatti S (2007) Scheduling and Synchronization in Distributed Systems. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.509. Accessed 9 June 2010
Brintrup A, Ranasinghe D, McFarlane D, Parlikad A (2008) A review of the intelligent product across the product lifecycle. Proceedings of the 5th International Conference on Product Lifecycle Management, Seoul
Brintrup A, McFarlane D, Owens K (2010) Will intelligent assets take off? Towards self-serving aircraft assets. IEEE Intell Syst. doi:10.1109/MIS.2009.89 (In Press)
Brown PJ, Bovey JD, Chen X (1997) Context-Aware Applications: From the Laboratory to the Marketplace. IEEE IEEE Pers Commun. doi:10.1109/98.626984
Bussmann S, Sieverding J (2001) Holonic control of an engine assembly plant-an industrial evaluation. Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference, Tucson
Canard S, Coisel I (2008) Data Synchronization in Privacy-Preserving RFID Authentication Schemes. Proceedings of 4th Workshop on RFID Security, Budapest
Chang F, Dean J et al. (2006) Bigtable: A Distributed Storage System for Structured Data. Proceedings of the 7th Conference on USENIX Symposium on Operating Systems Design and Implementation - Volume 7 (Seattle, WA, November 06–08, 2006). USENIX Association, Berkeley
Chatterjee M, Das SK, Turgut D (2002) WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks. Clust Comput. doi:10.1023/A:1013941929408
Chiasserini CF, Chlamtac I, Monti P, Nucci A (2004) An energy-efficient method for nodes assignment in cluster-based Ad Hoc networks. Wirel Netw. doi:10.1023/B:WINE.0000023857.83211.3c
Cilia M, Antollini C, Bornhövd A, Buchmann A (2004) Dealing with Heterogeneous Data in Pub/Sub Systems: The Concept-Based Approach. Third international workshop on distributed event-based systems DEBS ’04, Edingburgh
COUGAAR (2010) An Open-Source Agent Architecture for Large-Scale, Distributed Multi- Agent Systems. http://www.cougaar.org/. Accessed 20 June 2010
Crowley JL, Coutaz J, Rey G, Reignier P (2002) Perceptual Components for Context Aware Computing. Proceedings of the UBICOMP 2002, Goteborg
Dey A (2000) Providing Architectural Support for Building Context-Aware Applications. Dissertation, Georgia Tech
Dimokas N, Katsaros D, Manolopoulos Y (2007) Node Clustering in Wireless Sensor Networks by Considering Structural Characteristics of the Network Graph. Proceedings of the International Conference on Information Technology 2007, Las Vegas
Gavalas D, Pantziou G, Konstantopoulos C, Mamalis B (2006) Lowest-ID with Adaptive ID Reassignment: A Novel Mobile Ad-Hoc Networks Clustering Algorithm. Proceedings of the 1st International Symposium on Wireless Pervasive Computing, Phuket
Gilbert S, Lynch N (2002), Brewer’s Conjecture and the Feasibility of Consistent, Available, Partition-Tolerant Web Services. doi: 10.1145/564585.564601
Grummt EO (2010) Secure Distributed Item-Level Discovery Service Using Secret Sharing. http://www.faqs.org/patents/app/20100031369. Accessed 20 June 2010.
Hayes-Roth B (1995) An architecture for adaptive intelligent systems. ARTIF INTELL. doi:10.1016/0004-3702(94)00004-K
Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Trans Wireless Commun. doi: 10.1109/TWC.2002.804190
Holmstöm J, Kajosaari R, Främling K, Langius K (2009) Roadmap to tracking based business and intelligent products. Comp Ind 60: 229–233. doi:10.1016/j.compind.2008.12.006
JADE (2010) Java Agent Development Framework. http://jade.tilab.com/. Accessed 20 June 2010
Krivokapic N (1997) Synchronization in Distributed Object Systems. Proceedings of BTW'1997, pp.332-341
Kushalnagar N, Montenegro G, Schumacher C (2007) IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs): Overview, Assumptions, Problem Statement, and Goals. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.4790. Accessed 20 June 2010
Leanvitt N (2010) Will NoSQL Databases Live Up to Their Promise?, Comp. doi:10.1109/MC.2010.58
Liang Y, Yu H (2005) Energy Adaptive Cluster-Head Selection for Wireless Sensor Networks. Proceedings of the 6th International Conference on Parallel and Distributed Computing, Applications and Technologies, Dalian
Liu JS, Lin CHR (2005) Energy-efficiency clustering protocol in wireless sensor networks. J Adhoc Netw. doi:10.1016/j.adhoc.2003.09.012
Maes P (1995) Artificial Life Meets Entertainment: Life like Autonomous Agents. CACM. doi: 10.1145/219717.219808
Niemi T, Niinimäki M, Sivunen V (2007) Integrating Distributed Heterogeneous Databases and Distributed Grid Computing, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.1963. Accessed 9 June 2010
Onodera K, Miyazaki T (2008) An Autonomous Algorithm for Construction of Energyconscious Communication Tree in Wireless Sensor Networks. Proceedings of the 22nd International Conference on Advanced Information Networking and Applications – Workshops. IEEE Computer Society, Washington
Öszu MT (1999) Distributed Databases. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2276. Accessed 9 June 2010
Pátkai B, McFarlane D (2006) RFID-based Sensor Integration in Aerospace. http://www.aeroid.org/research_reports/AEROID-CAM-009-Sensors.pdf. Accessed 9 June 2010
Ray I, Ammann P, Jajodia S (2000) Using semantic correctness in multidatabases to achieve local autonomy, distribute coordination and maintain global integrity. Inf Sci. doi:10.1016/S0020-0255(00)00062-1
Stuart Russell S, Norvig P (2003) Artificial Intelligence: A Modern Approach. 2nd Edition, Prentice Hall Ryan NS, Pascoe J, Morse DR (1998) Enhanced Reality Fieldwork: the Contextaware Archaeological Assisstant. http://www.cs.ukc.ac.uk/projects/mobicomp/Fieldwork/Papers/CAA97/ERFldwk.html. Accessed 26 May 2010
Sánchez López T, Kim D, Canepa GH, Koumadi K (2008) Integrating Wireless Sensors and RFID Tags into Energy-Efficient and Dynamic Context Networks. Comput J. doi:10.1093/comjnl/bxn036
Sánchez López, T. Huerta Canepa, G. (2010) Distributed and Dynamic Addressing Mechanism for Wireless Sensor Networks. Submitted to Int J Distrib Sens Netw.Will be published in November 2010.
Schilit WN, Adams NI, Want R (1994) Context-aware Computing Applications. Proceedings of the 1st International Workshop on Mobile Computing Systems and Applications, Santa Cruz
Suzuki S, Harrison M (2006) Data Synchronization Specification. http://www.autoidlabs.org/single-view/dir/article/6/265/page.html. Accessed 9 June 2010
Vasseur JP et al. (2010) Routing Over Low power and Lossy networks (roll).http://datatracker.ietf.org/wg/roll/charter/. Accessed 20 June 2010
Wang Y, Zhao Q, Zheng D (2004) Energy-Driven Adaptive Clustering Data Collection Protocol in Wireless Sensor Networks. Proceedings of the International Conference on Intelligent Mechatronics and Automation, Chengdu
Wong CY, McFarlane D, Zaharudin A, Agarwal V (2002) The intelligent product driven supply chain. Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics, Hammanet
Wu J, Gaol M, Stojmenvic I (2001) On Calculating Power-Aware Connected Dominating Sets for Efficient Routing in Ad Hoc Wireless Networks. In: Ni LM, Valero M (eds) International Conference on Parallel Processing: 3–7 September 2001 Valencia, Spain. IEEE Press
Ye M, Li C, Chen G, Wu J (2005) EECS: An Energy Efficient Clustering Scheme in Wireless Sensor Networks. Proceedings of the International Profesional Communication Conference 2005, Limerick
Younis O, Fahmy S (2004) HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks. IEEE Trans. Mobile Comput. doi:10.1109/TMC.2004.41
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López, T.S., Brintrup, A., Isenberg, MA., Mansfeld, J. (2011). Resource Management in the Internet of Things: Clustering, Synchronisation and Software Agents. In: Uckelmann, D., Harrison, M., Michahelles, F. (eds) Architecting the Internet of Things. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19157-2_7
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DOI: https://doi.org/10.1007/978-3-642-19157-2_7
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