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Almost all the WSN solutions considered in this book take into account networks with only one sink However, several application scenarios suggest the use of WSNs with multiple sinks In this context, it is necessary, for example, to design and develop new routing protocols, new addressing mechanisms, more ef cient localization methods and so on These aspects need further investigation, from both theoretical and practical perspectives Energy and hardware constraints The energy and hardware constraints are relevant issues in WSNs The energy constraint limits the network lifetime, while hardware constraints impact on the complexity of the algorithms run by the network Currently, energy-saving is mostly realized by allowing nodes to alternate between active and sleeping phases As far as the hardware constraints are concerned, the literature usually considers very basic models, such as limited energy and storage capacity and limited computational power, without better.

, ctn as follows: The jth children of node i is stored in c(i 1)t+j+1 for 1 i n 1 and 1 j t; missing children are denoted by 0 The array is, for convenience, completed with c1 = 1 and c(n 1)t+2 = = cnt = 0 (node n has no children) For example, the children array notations for trees in FIGURE 11 are 102340560000 and 123400050600000007000 Here we give a simple algorithm to generate children array tree sequences, for the case of t-ary trees (generalized from the work by Akl et al [4] that gives corresponding generation of binary trees) The rightmost element of array c that can be occupied by an integer j>0, representing node j, is obtained when j is tth child of node j 1 , that is, it is c(j 1)t+1 .

1. Dijkstra EW. A note on two problems in connexion with graphs. Numerische Math 1959;1:269 271. 2. Ford LR. Jr. Network ow theory. Technical Report No. P-923, Santa Monica, CA: The Rand Corporation, August 1956. 3. Bellman R. On a routing problem. Quarterly Appl Math 1958;16(1):87 90. 4. Zwick U. Exact and approximate distances in graphs a survey. Lecture Notes in Computer Science (LNCS2161). Berlin: Springer-Verlag; 2001. p 33 48. 5. Ramalingam G, Reps TW. An incremental algorithm for a generalization of the shortestpath problem. J Algor 1996; 21(2): 267 305. 6. Perlman R. Interconnections. 2nd ed. Reading, MA: Addison-Wesley; 1999. 7. Albrightson B, Garcia-Luna-Aceves JJ, Boyle J. EIGRP a fast routing protocol based on distance vectors. Proceedings of Networld/Interop; 1994. 8. Dijkstra EW, Scholten CS. Termination detection for diffusing computations. Inform Process Lett 1980;11(1):1 4. 9. Garcia-Luna-Aceves JJ. Loop-free routing using diffusing computations. IEEE/ACM Trans Netw 1993;1(1):130 141. 10. Narvaez P, Siu K-Y, Tzeng H-Y. Fault-tolerant routing in the Internet without ooding. In: Aversky D, editor. Dependable Network Computing. Drodrecht: Kluwer Academic; 2000. p 193 206. 11. Wu J, Dai F, Lin X, Cao J, Jia W. An extended fault-tolerant link-state routing protocol in the Internet. IEEE Trans Comput 2003;52(10):1298 1311. 12. Narvaez P, Siu K-Y, Tzeng H-Y. New dynamic algorithms for shortest path tree computation. IEEE/ACM Trans Netw 2000;8(6):734 746. 13. Moy J. OSPF Version 2 IETF, RFC 2328, 1998 . 14. Hopps C. Analysis of an equal-cost multi-path algorithm. IETF, RFC 2992, 2000. 15. Basagni S, Conti M, Giordano S, Stojmenovi I, editors. Mobile Ad Hoc Networking. c Wiley-IEEE Press; 2004. 16. Perkins CE, editor. Ad Hoc Networking. Addison-Wesley; 2001. 17. Diestel R. Graph Theory. Graduate Texts in Mathematics. Volume 173, Berlin: Springer; 2000. 18. Berger F. Minimum Cycle Bases in Graphs. Shaker-Verlag; 2004

We say that an integer j is mobile if it is not in c(j 1)t+1 and all (nonzero) integers to its right occupy their rightmost positions A simple sequential algorithm that uses this notation to generate all t-ary trees with n nodes is given below If numerical order 0 < 1 < < n is assumed, the algorithm generates children array sequences in antilexicographic order Alternatively, the order may be interpreted as lexicographic if 0, 1, , n are treated as symbols, ordered as 1 < 2 < < n < 0 Numeric lexicographic order may be obtained if 0 is replaced by a number larger than n (the algorithm should always report that number instead of 0) for i 1 to n do ci i; for i n + 1 to tn do ci 0; repeat print out c1 , , ctn ; i (n 1)t;.

In the hands of someone who has the capability to figure out what the customer really needs, a customer relaxes and the sale becomes that much easier. Like all good salespeople, Dave Liniger discovered just how big a difference his state of mind made. Doing so made him realize that he had just begun to tap into his full potential. Working on your personal state of mind helps you to share your dream with others. (p. 15) Find a prospective mentor in your field, and pursue a mentor relationship with him or her at any age and any stage in your career. (p. 15) Find the best in your industry and learn from them. Take them to dinner and find out what they did to become successful. Ask them for advice on what they would do if they were in your specific situation. In order to become the best, you have to be intentional about learning from the best. (p. 17) Spend the necessary time going to school around the idea. Learn everything you can. Be the best by learning from the experts, and then become the expert around your dream. (throughout chapter) Once your idea turns into a dream with a focused system, act on it! (p. 19)