By Viktor K. Prasanna (auth.), Sotiris E. Nikoletseas, José D. P. Rolim (eds.)
This quantity includes the contributed papers and invited talks offered on the 1stInternationalWorkshoponAlgorithmicAspectsofWirelessSensorNetworks (ALGOSENSORS 2004), which was once held July sixteen, 2004, in Turku, Finland, - situated with the thirty first foreign Colloquium on Automata, Languages, and Programming (ICALP 2004). instant advert hoc sensor networks became a crucial study topic because of their power to supply varied prone in different appli- tions. the conclusion of sensor networks calls for in depth technical learn and improvement e?orts, specifically in power-aware scalable instant advert hoc c- munications protocols, because of their strange program specifications and serious constraints. nonetheless, a pretty good theoretical history turns out precious for sensor networks to accomplish their complete capability. it truly is an algorithmic problem to accomplish e?cient and strong realizations of such huge, hugely dynamic, advanced, n- traditional networking environments. good points, together with the large variety of sensor units concerned, the critical strength, computational and reminiscence limi- tions, their dense deployment and common mess ups, pose new layout, research and implementation demanding situations. This occasion is meant to supply a discussion board for researchers and practitioners to provide their contributions on the topic of all features of instant sensor networks. themes of curiosity for ALGOSENSORS 2004 have been: – Modeling of speci?c sensor networks. – equipment for advert hoc deployment. – Algorithms for sensor localization and monitoring of cellular clients. – Dynamic sensor networks. – Hierarchical clustering architectures. – Attribute-based named networks. – Routing: implosion concerns and source administration. – communique protocols. – Media entry keep watch over in sensor networks. – Simulators for sensor networks.
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Extra resources for Algorithmic Aspects of Wireless Sensor Networks: First International Workshop, ALGOSENSORS 2004, Turku, Finland, July 16, 2004. Proceedings
Random Plane Networks. Journal of the Society of Industrial and Applied Mathematics, 9(4):533–543, Dec 1961. 6. Jason L. Hill and David E. Culler. Mica: a wireless platform for deeply embedded networks. -Dec. 2002. 7. J. Li et al. Capacity of Ad Hoc wireless networks. In Proc. ACM/IEEE MOBICOM Conf, pages 61–69, 2001. 8. T. Melly, E. Le Roux, F. Pengg, D. Ruﬃeux, N. Raemy, F. Giroud, A. Ribordy, and V. Peiris. WiseNET: Design of a Low-Power RF CMOS Receiver Chip for Wireless Applications. CSEM Scientiﬁc and Technical Report, page 25, 2002.
Pages 302–303, November 2003. 3. Amre El-Hoiydi. Spatial TDMA and CSMA with Preamble Sampling for Low Power Ad Hoc Wireless Sensor Networks. In Proc. IEEE Int. Conf. on Computers and Communications (ISCC), pages 685–692, Taormina, Italy, July 2002. 4. Amre El-Hoiydi, Jean-Dominique Decotignie, and Jean Hernandez. Low Power MAC Protocols for Infrastructure Wireless Sensor Networks. In Proc. European Wireless (EW’04), pages 563–569, Barcelona, Spain, February 2004. 5. E. N. Gilbert. Random Plane Networks.
Such constraints could have the potential of allowing computationally eﬃcient localization algorithms to be designed. For example, in , Biswas and Ye show that network localization in unit disk graphs can be formulated as a semideﬁnite programming problem and thus can be eﬃciently solved. A condition of their algorithm, however, is that the graphs are densely connected. More speciﬁcally, their algorithm requires that Ω(n2 ) pairs of nodes know their relative distances, where n is the number of sensor nodes in the network.