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, Ak be the set of higher id neighbors of B If the set is empty or disconnected, then B is in the dominating set If the set is connected and each neighbor of B is m-covered by them, then B is not in the dominating set Finally, if any neighbor of B is not m-covered by the set, then B is in the dominating set The broadcasting process with any notion of dominating sets and neighbor elimination [14] can proceed as follows [3] After receiving a broadcast message, node A will set a time-out short if it is in the dominant set, and long if not It calculates the probabilities of each neighbor for receiving the same message, and eliminates m-covered neighbors from the list This lists is updated for any further copy of the received message.

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Mataragas, M, J Metaxopoulos, M Galiotou, and E H Drosinos 2003 In uence of pH and temperature on growth and bacteriocin production by Leuconostoc mesenteroides L124 and Lactobacillus curvatus L442 Meat Science 64:265 271 Mauriello, G, A Casaburi, and F Villani 2002 Proteolytic activity of Staphylococcus xylosus strains on pork myo brillar and sarcoplasmic proteins and use of selected strains in the production of Naples type salami Journal of Applied Microbiology 92: 482 490 Mauriello, G, A Casaburi, G Blaiotta, and F Villani 2004 Isolation and technological properties of coagulase negative staphylococci from fermented sausages of Southern Italy Meat Science 67:149 158 Mendoza, E, M L Garc a, C Casas, and M D Selgas 2001 Inulin as fat substitute in low fat, dry fermented sausages Meat Science 57:387 393 Messens, W, J Verluyten, F Leroy, and L De Vuyst 2003.

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The update includes the time-out that can be extended with more received messages At the end of time-out, if all neighbors are m-covered, retransmission is canceled Otherwise, the node retransmits the packet Since the reception of any message is a probabilistic event, one retransmission by any particular node may not suf ce To learn about the existence of neighbors, each node may need to send several packets The number of retransmissions needed for learning about the satisfactory number of neighbors depends on density In ref [3], it was proposed that each node retransmit Hello messages until a certain xed number of such packets or responses is received from neighbors, as an indirect measure of density A similar protocol also can be applied for the broadcasting task, modifying any existing protocol originally designed for the unit graph as follows.

= (1 + X + X )(1 + X + X 2 + X 3 + X 4 )(1 + X + X 2 ) = 1 + X + X 2 + X 4 + X 5 + X 8 + X 10 This generator polynomial is of weight 7, and so it generates a BCH code of minimum Hamming distance dmin = 7. As a result of the de nition of a linear binary block BCH code CBCH (n, k) for correcting error patterns of size t or less, and with code length n = 2m 1, it is possible to af rm that any code polynomial of such a code will have , 2 , . . . , 2t and their conjugates as its roots. This is so because any code polynomial is a multiple of the corresponding generator polynomial g(X ), and also of all the minimal polynomials 1 (X ), 2 (X ), . . . , 2t (X ). Any code polynomial c(X ) = c0 + c1 X + . . . + cn 1 X n 1 of CBCH (n, k) has primitive element i as a root: c( i ) = c0 + c1 i + + cn 1 i(n 1) = 0 In matrix form, i 2i (c0 , c1 , . . . , cn 1 ) =0 . . . (n 1)i 1 (4)

Modeling growth and bacteriocin production by Lactobacillus curvatus LTH 1174 in response to temperature and pH values used for European sausage fermentation processes International Journal of Food Microbiology 81:41 52 Miralles, M C, J Flores, and G Perez-Martinez 1996 Biochemical tests for the selection of Staphylococcus strains as potential meat starter cultures Food Microbiology 13:27 236 Molly, K, D I Demeyer, G Johansson, M Raemaekers, M Ghistelinck, and I Geenen 1997 The importance of meat enzymes in ripening and avor generation in dry fermented sausages First results of a European project Food Chemistry 54:539 545 Molly, K, D I Demeyer, T Civera, and A Verplaetse 1996 Lipolysis in Belgian sausages: Relative importance of endogenous and bacterial enzymes Meat Science 43:235 244 Montel, M C, F Masson, and R Talon 1998 Bacterial role in avour development Meat Science 49:S111 S123 Morot-Bizot, S C, S.

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