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The authenticity of these parameters is guaranteed by a digital signature generated by the sender However, due to the low bandwidth of a sensor network and the low computational resources at each sensor node, mTESLA cannot distribute these initial parameters using public key cryptography Instead, the base station has to unicast the initial parameters to the sensor nodes individually This feature severely limits the application of mTESLA in large sensor networks For example, the implementation of mTESLA in [11] has 10 kbps bandwidth and supports 30-byte messages To bootstrap 2000 nodes, the base station has to send or receive at least 4000 packets to distribute the initial parameters, which takes at least 4000 30 8 = 10; 240 93:75 s, even if the channel utilization is perfect Such a method certainly cannot scale up to very large sensor networks, which may have thousands of nodes..



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Lee, Q L Hu, and D L Lee, A study of channel allocation methods for data dissemination in mobile computing environments, ACM/Baltzer Journal of Mobile Networks and Applications (MONET), 4(2): 117 129, 1999 W-C Lee and D L Lee, Using signature techniques for information filtering in wireless and mobile environments, Journal of Distributed and Parallel Databases (DPDB), 4(3): 205 227, July 1996 W-C Lee and D L Lee, Signature caching techniques for information broadcast and filtering in mobile environments, ACM/Baltzer Journal of Wireless Networks (WINET), 5(1): 57 67, 1999 C W Lin and D L Lee, Adaptive data delivery in wireless communication environments, in Proceedings of the 20th IEEE International Conference on Distributed Computing Systems (ICDCS 2000), pp 444 452, Taipei, Taiwan, April 2000 S-C Lo and A L P.





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Modern bacon sometimes exhibits a regular alternating pattern of light and dark bands, which was described as tiger stripe when it was rst reported (Voyle et al. 1986). The alternating pattern had a regular periodicity that seemed to coincide with the injection

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Chen, Optimal index and data allocation in multiple broadcast channels, in Proceedings of the 16th IEEE International Conference on Data Engineering (ICDE 2000), pp 293 302, San Diego, CA, USA, February 2000 W-C Peng and M-S Chen, Dynamic generation of data broadcasting programs for a broadcast disk array in a mobile computing environment, in Proceedings of the 9th ACM International Conference on Information and Knowledge Management (CIKM 2000), pp 38 45, McLean, VA, USA, November 2000 E Pitoura and P K Chrysanthis, Exploiting versions for handling updates in broadcast disks, in Proceedings of the 25th International Conference on Very Large Data Bases (VLDB 99), pp 114 125, Edinburgh, Scotland, UK, September 1999 K Prabhakara, K A Hua, and J Oh, Multi-level multi-channel air cache designs for broadcasting in a mobile environment, in Proceedings of the 16th IEEE International Conference on Data Engineering (ICDE 2000), pp.

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The above procedure has to be applied for the 2t rows of the table, until the minimum-degree (2t) polynomial BM (X ) is obtained, and nally this last polynomial is adopted as the error(2t) (2t) location polynomial BM (X ) = BM (X ) In general, if the degree of BM (X ) is larger than t, then it is likely that its roots do not correspond to the inverses of the real error-location numbers, since it is also likely that the error event was severe, and affected more than t elements, being over the error-correction capability of the code After the determination of the error-location polynomial, the roots of this polynomial are calculated by applying the Chien search, as used in Euclidean algorithm decoding, by replacing the variable X with all the elements of the Galois eld GF(q), 1, , 2 , .

167 176, San Diego, CA, USA, February 2000 J Shanmugasundaram, A Nithrakashyap, R M Sivasankaran, and K Ramamritham, Efficient concurrency control for broadcast environments, in Proceedings of ACM SIGMOD International Conference on Management of Data, pp 85 96, Philadelphia, PA, USA, June 1999 S Sheng, A Chandrasekaran, and R W Broderson, A portable multimedia terminal, IEEE Communications Magazine, 30(12): 64 75, December 1992 N Shivakumar and S Venkatasubramanian, Energy-efficient indexing for information dissemination in wireless systems, ACM/Baltzer Journal of Mobile Networks and Applications (MONET), 1(4): 433 446, 1996..

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, q 2 , in the expression of the obtained error-location polynomial, looking for the condition BM ( i ) = 0 This procedure leads to an estimate of the error pattern of minimum weight, which solves the system of syndrome equations This will be the true error pattern that occurred on the channel if the number of errors in this pattern is t Example 56: Apply the B M algorithm to Example 43, which concerns the binary BCH code CBCH (15, 7) with t = 2, and a received polynomial of the form r (X ) = 1 + X 8 The syndrome components were calculated in Example 43 as s1 = r ( ) = 2 s2 = r ( 2 ) = 4 s3 = r ( 3 ) = 7 s4 = r ( 4 ) = 8 Table 5.

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