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1 I F Akyildiz and J S M Ho, Dynamic mobile user location update for wireless PCS networks, Wireless Networks, 1, 187 196, 1995 2 I F Akyildiz, J S M Ho, and Y-B Lin, Movement-based location update and selective paging for PCS networks, IEEE/ACM Transactions on Networking, 4, 4, 629 638, 1996 3 A Abutaleb and V O K Li, Location update optimization in personal communication systems, Wireless Networks, 3, 205 216, 1997 4 A Abutaleb and V O K Li, Paging strategy optimization in personal communication systems, Wireless Networks, 3, 195 204, 1997 5 I F Akyildiz, Y-B Lin, W-R Lai, and R-J Chen, A new random walk model for PCS networks, IEEE Journal on Selected Areas in Communications, 18, 7, 1254 1260, 2000 6 U Black, Mobile and Wireless Networks, Upper Saddle River, NJ: Prentice Hall, 1996 7 U.

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the procedure in which exactly one of the originally competing nodes transmits exceeds 1/2 Hence, if the initially competing nodes are the d informed neighbors of some node x, and k is as above, node x becomes informed with probability greater than 1/2 upon completion of Procedure Decay (k) The broadcasting algorithm consists of several applications of the above procedure Since k must be at least 2 log d , where d is the number of informed neighbors of a node, we set k to 2 log , and if is unknown, to 2 log n Since all competing nodes must start Procedure Decay(k) in the same round, the procedure is called only in rounds that are multiples of k We formulate the algorithm as executed by each processor Algorithm Broadcast k := 2 log , t := log (n/ ) Wait until receiving the source message.

Repeat t times: in the earliest round with number divisible by k start competing and execute Decay (k) The execution of the algorithm in the network consists of the transmission by the source in the first round and of the execution of Algorithm Broadcast by each node It is proved in [5] that, with probability at least 1 , all nodes get the source message and stop transmitting after O((D + t)k) rounds This gives time O((D + log(n/ ))log ) (according to the algorithm formulation), and time O((D + log(n/ ))log n), if is unknown The above algorithm works for networks of arbitrary unknown topology Clearly, if the underlying graph is complete (such networks are called single-hop), the broadcasting problem, as defined in this chapter, is trivial However, for such networks the problem of k-broadcasting has been extensively studied, and several mostly randomized solutions have been proposed.

See Section 2451 for the definition of the problem and pointers to relevant literature..

Black, Second Generation Mobile and Wireless Networks, Upper Saddle River, NJ: Prentice Hall, 1999 8 A Bhattacharya and S K Das, LeZi-Update: An Information-Theoretic Approach to Track Mobile Users in PCS Networks, MOBICOM, Seattle, 1999, pp 1 12 9 A Bar-Noy and I Kessler, Tracking mobile users in wireless communications networks, IEEE Transactions on Information Theory, 39, 6, 1877 1886, 1993 10 A Bar-Noy, I Kessler, and M Naghshineh, Topology-based tracking strategies for personal communication networks, Mobile Networks and Applications, 1, 49 56, 1996 11 A Bar-Noy, I Kessler, and M Sidi, Mobile users: To update or not to update Wireless Networks, 1, 175 185, 1995 12 Y Birk and Y Nachman, Using direction and elapsed-time information to reduce the wireless cost of locating mobile units in cellular networks, Wireless Networks, 1, 403 412, 1995 13 V Casares-Giner and J.

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