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Kansal, E Yuen, W J Kaiser, G J Pottie, and M B Srivastava Sensing uncertainty reduction using low complexity actuation In Proceedings of Information Processing in Sensor Networks (IPSN 2004), Berkeley, CA, April 2004 53 J Wu and S Yang SMART: A scan-based movement assisted sensor deployment method in wireless sensor networks In Proceedings of the IEEE Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 05), Miami, FL, March 2005 54 G Wang, G Cao, and T La Porta Proxy-based sensor deployment for mobile sensor networks In Proceedings of the 1st IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), Fort Lauderdale, FL, October 2004 55 A Kansal et al Controlled mobility for sustainable wireless sensor networks In Proceedings of IEEE Sensor and Ad Hoc Communications and Networks (SECON), Santa Clara, CA, October 2004 56 N Heo and P K Varshney.

Encoding Channel encoding as for BCCH, but divide resulting 456 bits into eight sets of 57 and spread over eight half-bursts as for full-rate speech TCH Channel encoding as for BCCH, but the four bursts are transmitted with a 26-frame gap between them instead of in consecutive frames, thus giving a throughput of 23 bytes per 104 frames On the receive side, the process is reversed, with bits from various equalized bursts being stored until there are enough bursts to make a decodable block The bits are then de-interleaved (reordered into an order which the error correction decoder can make sense of) and passed through a Viterbi convolutional decoder If necessary, the output of the Viterbi decoder is then passed through a FIRE decoder or a CRC check Encryption is performed on SDCCH, TCH, FACCH and SACCH A special algorithm is used (A51 or A5.

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HPMPC (CDV) 278 9.2 Cyclic HPMPC (cHPMPC) >302 0 S-HPMPA 269 21 PMEA >366 0 PMEDAP >339 12 PMPA >300 PMEG 88

A distributed self spreading algorithm for mobile wireless sensor networks In Proceedings of IEEE Wireless Communications and Networking Conference, WCNC 2003, New Orleans, LA, March 2003 57 A Kansal, E Yuen, W J Kaiser, G J Pottie, and M B Srivastava Sensing Uncertainty Reduction Using Low Complexity Actuation In Proceedings of Information Processing in Sensor Networks (IPSN 2004), Berkeley, CA, April 2004..

2) which takes the frame number and the encryption key as parameters and produces two 114-bit blocks of encryption data, one for receive and one for transmit The receive block is exclusive-ORed with the output of the equalizer prior to de-interleaving The transmit block is exclusive-ORed with the output of the interleaver prior to addition of the midamble and stealing ags The key used for encryption is generated by the SIM as part of the authentication process Whenever a mobile tries to connect to the network, the base station will perform a challenge/response authentication procedure The base station sends a random number to the mobile and this is passed to the SIM where it is used as input to the A3 algorithm in conjunction with a secret key (Ki ) which never leaves the SIM, but which is also known to the network.

58. K. Dasgupta, M. Kukreja, and K. Kalpakis. Topology-aware placement and role assignment for energy-ef cient information gathering in sensor networks. In Proceedings of 8th IEEE Symposium. on Computers and Communication (ISCC 03), Kemer-Antalya, Turkey, July 2003. 59. M. Younis, M. Bangad, and K. Akkaya, Base-station repositioning for optimized performance of sensor networks. In Proceedings of the IEEE VTC 2003 Wireless Ad hoc, Sensor, and Wearable Networks, Orlando, FL, October 2003. 60. K. Akkaya, M. Younis, and M. Bangad. Sink repositioning for enhanced performance in wireless sensor networks. Computer Networks, 49(1):512 534, 2005. 61. K. Akkaya and M. Younis. Relocation of gateway for enhanced timeliness in wireless sensor networks. In Proceedings of the IEEE Workshop on Energy-Ef cient Wireless Communications and Networks (EWCN 2004), in conjunction with the 23rd IEEE International Performance Computing and Communications Conference (IPCCC 04), Phoenix, AZ, April 2004. 62. W. Youssef, M. Younis, and K. Akkaya. An intelligent safety-aware gateway relocation scheme for wireless sensor networks. In Proceedings of the IEEE International Conference on Communications (ICC 2006), Istanbul, Turkey, June 2006. 63. J. English, M. Wiacek, and M. Younis. CORE: Coordinated relocation of sink nodes in wireless sensor networks. In Proceedings of the 23rd IEEE Biennial Symposium on Communications (QBSC 2006), Kingston, Ontario, Canada, May 2006.

De Clercq18 In the CDV series, there are a number of prodrugs that have equal or greater activity against VV and CV than CDV; however, little is known about their toxicity or pharmacokinetics at the present time The adenine analogue S-HPMPA [(S)-9-(3-hydroxy-2-phosphonylmethoxypropyl)adenine] was about tenfold more active than CDV, an observation that con rms earlier data of De Clercq et al15 Of special interest is the fact that S-HPMPA has been reported to have activity against monkeypox and variola viruses at concentrations similar to those reported here for VV and CV20 In the PMEA [9-(2-phosphonylmethoxyethyl) adenine] (adefovir) series, PMEA itself was not active Similarly, the 2-phosphonylmethoxyethyl diaminopurine analogue of PMEA (PMEDAP), and the (R)-9-(2-phosphonylmethoxypropyl)adenine analogue (PMPA) (tenofovir) was inactive against VV and CV In contrast, the 2-phosphonylmethoxyethyl guanine (PMEG) analogue was very active.

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