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Download Computer Networks and Distributed Systems: International by Amir Hossein Jahangir, Ali Movaghar, Hossein Asadi PDF

By Amir Hossein Jahangir, Ali Movaghar, Hossein Asadi

This ebook constitutes the refereed court cases of the foreign Symposium on laptop Networks and allotted structures, CNDS 2013, held in Tehran, Iran, in December 2013. The 14 complete papers awarded have been conscientiously reviewed and chosen from various submissions. they're equipped in topical sections comparable to cognitive and multimedia networks; instant sensor networks; defense; clouds and grids.

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Read or Download Computer Networks and Distributed Systems: International Symposium, CNDS 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers PDF

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Extra resources for Computer Networks and Distributed Systems: International Symposium, CNDS 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers

Example text

Commun. 33, 302–321 (2010) 4. : Strategies for data dissemination to mobile sinks in wireless sensor networks. IEEE Wirel. Commun. 15, 31–37 (2008) 5. : Life time maximization for connected target coverage in wireless sensor networks with sink mobility. In: Sixth International Symposium on Telecommunications (IST), pp. 743–748. IEEE Press, New York (2012) 6. : Balanced itinerary planning for multiple mobile agents in wireless sensor networks. C. ) ADHOCNETS 2010. LNICST, vol. 49, pp. 416–428. Springer, Heidelberg (2010) 7.

Note that M can be calculated easily using the following equation:    M ¼ max8i2S Ei E ð12Þ t Wireless Sensor Network Lifetime Maximization Using Multiple Mobile Sink Nodes 45 Each sink node k 2 R dwells at the subarea p 2 K for tpk units of time. Meanwhile each sensor node l generates data with the rate of ql . Constraints (6) indicate that each sink node k can gather at most ql tpk units of data generated by each sensor node l at each subarea p. Constraints (7) insure that for each sensor node l, there is a sink node which is responsible for gathering its generated data.

The algorithm of CheckBackoff procedure is shown in Algorithm 1. The parameters used in the algorithm are described in Table 2. Algorithm 1. CheckBackoff procedure 1: if 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: ((packet attempt number = stored expected attempt number) and (packet privious backof f = stored privious backof f )) then expected backof f = BKf unction(packet f ields) if (waited slots ≤ expected backof f ) then Deviation has occurred end if else ← BKf unction(stored values) + aggregate expected backof f ΣBKf unction(guessed parameters) + BKf unction(packet f ields) if (waited slots ≤ aggregate expected backof f ) then Deviation has occurred end if end if Selfish nodes try to backoff for smaller interval to access the channel faster and thus gain much more throughput against other nodes in the network.

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