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q q1 ; q2 ; q3 T the nger angle coordinates. Then the principal clustering and modeling steps are: 1. Choose an appropriate number c of local linear models (data clusters). 2. Find c cluster centers ti ; q1i ; q2i ; q3i ;i 1. . . c in the product space of the data quadruples t; q1 ; q2 ; q3 by fuzzy-c-elliptotype clustering. 3. Find the corresponding fuzzy regions in the space of input data t by projection of the clusters in the product space into Gustafson-Kessel clusters (GK) onto the input space [18]. 4. Calculate c local linear (af ne) models (15.4) using the GK clusters from step 2. The degree of membership wi t of an input data point t in an input cluster Ci is determined by wi t 1

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By materializing new matter from uctuations in a larger and unstable eld that is, by creating existence from nonexistence (cold dark matter) any embedded open system might not only expand, but also form entities displaying antientropic structure, the future survival of which is determined by the character of parallel materializations and by the fortuitous consequences of their interactions (including their ecological balance, symbiosis, etc) Beyond fortuitous levels of reciprocal tness, some of these anti-entropic structures may possess properties that enable them to facilitate their own self-organization; that is to say, the forms into which they have been rendered randomly may not only survive, but also be able to amplify themselves, to extend their range, or both, sometimes in replicated and sometimes in more comprehensive structures Recent mathematical research in both physics and chemistry has begun to elucidate processes that characterize how structures evolve from randomness.

45 Chane L Fullmer and J J Garcia-Luna-Aceves Solutions to hidden terminal problems in wireless networks ACM SIGCOMM Computer Communications Review (Proceedings of the ACM SIGCOMM 97 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications), 27(4):39 49, October 1997 46 Fouad A Tobagi and Leonard Kleinrock Packet switching in radio channels Part II: The hidden terminal problem in carrier sense multiple-access and the busy tone solution IEEE Transactions on Communications, COM-23(12):1417 1433, December 1975 47 Zygmunt J Haas, Jing Deng, and Siamak Tabrizi Collision-free medium access control scheme for ad-hoc networks In Proceedings of the IEEE Military Communications Conference, Volume 1, pages 276 280, 1999 48 Phil Karn MACA A new channel-access method for packet radio In Proceedings of the ARRL/CRRL Amateur Radio 9th Computer Networking Conference, pages 134 140, 1990 49 Vaduvur Bharghavan et al MACAW.

ACM SIGCOMM Computer Communication Review (Proceedings of the Conference on Communications Architectures, Protocols and Applications), 24(4):212 225, October 1994 50 Institute of Electrical and Electronics Engineers, Inc IEEE Standard for Information Technology Telecommunications and Information Exchange Between Systems Local and Metropolitan Area Networks Speci c Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Speci cations, IEEE Std 80211-1999 (ISO/IEC 8802-11: 1999) IEEE Press, 1999 51 Suresh Singh and C S Raghavendra PAMAS Power Aware Multi-Access protocol with Signalling for ad hoc networks ACM Sigcomm Computer Communication Review, 28(3):5 26, July 1998 52 Alec Woo and David E Culler A transmission control scheme for media access in sensor networks In Proceedings of the 7th Annual Conference on Mobile Computing and Networking, pages 221 235, 2001 53 Katayoun Sohrabi et al Protocols for self-organization of a wireless sensor network IEEE Personal Communications, 7(5):16 27, 2000 54.

Eugene Shih et al Physical layer driven protocol and algorithm design for energyef cient wireless sensor networks In Proceedings of the 7th Annual ACM/IEEE International Conference on Mobil Computing and Networking (MobiCom), pages 272 287, Rome, Italy, July 2001 55 Andrew Y Wang et al Energy ef cient modulation and MAC for asymmetric RF microsensor systems In Proceedings of the IEEE International Symposium on Low Power Electronics and Design, pages 106 111, Huntington Beach, California, 2001 56 Wei Ye, John Heidemann, and Deborah Estrin An Energy-Ef cient MAC Protocol for Wireless Sensor Networks USC/ISI Technical Report ISI-TR-543, September 2001 57 Wei Ye, John Heidemann, and Deborah Estrin Medium access control with coordinated adaptive sleeping for wireless sensor networks IEEE/ACM Transactions on Networking, 12(3):493 506, June 2004 58 Jose A Gutierrez, Edgar H Callaway, Jr, and Raymond L Barrett, Jr Low-Rate Wireless Personal Area Networks .

Enabling Wireless Sensors with IEEE 802154TM IEEE Press, 2003 59 See at http://wwwzigbeeorg..