By Viktor K. Prasanna (auth.), Sotiris E. Nikoletseas, José D. P. Rolim (eds.)

This quantity includes the contributed papers and invited talks awarded on the 1stInternationalWorkshoponAlgorithmicAspectsofWirelessSensorNetworks (ALGOSENSORS 2004), which used to be held July sixteen, 2004, in Turku, Finland, - situated with the thirty first overseas Colloquium on Automata, Languages, and Programming (ICALP 2004). instant advert hoc sensor networks became a vital study topic as a result of their strength to supply assorted 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 software requisites and critical constraints. nevertheless, a fantastic theoretical heritage turns out valuable for sensor networks to accomplish their complete power. it's 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 serious energy, computational and reminiscence limi- tions, their dense deployment and common disasters, pose new layout, research and implementation demanding situations. This occasion is meant to supply a discussion board for researchers and practitioners to offer their contributions with regards to 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 matters and source administration. – verbal exchange 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

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Pister, and L. E. Ghaoui. Convex position estimation in wireless sensor networks. In Proceedings of IEEE INFOCOM ’01, pages 1655–1633, Anchorage, AK, April 2001. 9. T. Eren, D. Goldenberg, W. R. Yang, S. O. N. Belhumeur. Rigidity, computation, and randomization of network localization. In Proceedings of IEEE INFOCOM ’04, Hong Kong, China, April 2004. 10. Deborah Estrin, Ramesh Govindan, John S. Heidemann, and Satish Kumar. Next century challenges: Scalable coordination in sensor networks. In Proceedings of The Fifth International Conference on Mobile Computing and Networking (Mobicom), pages 263–270, Seattle, WA, November 1999.

The MAC layer overhead is of 8 bytes. The resulting frame size is of 56 bytes, and its transmission duration at 25 kbps is of 18 ms. An acknowledgement packet has a length of 12 bytes and a duration of 4 ms. Note that, in an optimized implementation, smaller overheads could be used. Receive, Interference and Carrier Sense Ranges. The sensitivity of a transceiver is the minimum energy level at which a signal can be demodulated at some given bit error rate (typically 10−3 ). In WiseMAC, we have chosen to use a receive threshold that is well above the sensitivity, in order to avoid useless wake-ups caused by noise or by weak signals, and wake up only when this is really worth it.

In Proceedings of The Fifth International Conference on Mobile Computing and Networking (Mobicom), pages 263–270, Seattle, WA, November 1999. 11. G. H. Forman and J. Zahorjan. The challenges of mobile computing. IEEE Computer, 27(4):38–47, Apr. 1994. 12. L. Girod and D. Estrin. Robust range estimation using acoustic and multimodal sensing. In IEEE/RSI Int. Conf. on Intelligent Robots and Systems (IROS), 2001. 13. T. He, C. Huang, B. Blum, J. Stankovic, and T. Abdelzaher. Range-free localization schemes in large scale sensor networks.

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