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On the capacity of wireless networks: The relay case In Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies Proceedings, IEEE INFOCOM 2002, 2002 49 K Jain, J Padhye, V N Padmanabhan, and L Qiu Impact of interference on multihop wireless network performance In MobiCom, 2003 50 M Kodialam and T Nandagopal Characterizing achievable rates in multihop wireless networks: the joint routing and scheduling problem In MobiCom, 2003 51 M Kodialam and T Nandagopal The Effect of Interference on the Capacity of Multihop Wireless Networks In Bell Labs Technical Report, Lucent Technologies, 2003 52 V Kolar and N B Abu-Ghazaleh A multi-commodity ow approach to globally aware routing in multi-hop wireless networks In IEEE Pervasive Computing and Communications (PerCom), 2006 53 R K Ahuja, T L Magnanti, and J B Orlin Network Flows: Theory, Algorithms, and Applications, Prentice-Hall, Englewood Cliffs, NJ, 1993 54 G Bianchi.

java ean 13 reader

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zxing/zxing: ZXing ("Zebra Crossing") barcode scanning ... - GitHub
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The problem of scheduling the visit to the sensor nodes of a single relay (called ME, for Mobile Element) so that there is no data loss (due to buffer over ow) is tackled in reference 34 The corresponding Mobile Element Scheduling (MES) problem is proven to be NP-complete, and centralized analytical model (ILP) and algorithms are given for solving the problem In particular, given as input the data generation patterns.

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java barcode reader - Stack Overflow
ZXing provides Java source code that reads most any common format ( UPC , EAN , QR codes, etc.). It provides source to a complete Android ...

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Performance analysis of the ieee 80211 distributed coordination function IEEE Journal on Selected Areas in Communications, 18:535 547, 2000 55 M Garetto, T Salonidis, and E W Knightly Modeling per- ow throughput and capturing starvation in csma multi-hop wireless networks In IEEE INFOCOMM, 2006 56 M M Carvalho and J J Garcia-Luna-Aceves A scalable model for channel access protocols in multihop ad hoc networks In MobiCom 04: Proceedings of the 10th Annual International Conference on Mobile Computing and Networking, ACM Press, New York, pp 330 344 57 R R Boorstyn, A Kershenbaum, B Maglaris, and V Sahin Throughput analysis in multihop csma packet radio networks IEEE Transactions on Communication, 1987 58 F A Tobagi and J M Brazio Throughput analysis of multihop packet radio network under various channel access schemes In IEEE INFOCOM, 1983 59 X Wang and K Kar.

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31 T He, C Huang, B M Blum, J A Stankovic, and T Abdelzaher Range-free localization schemes for large scale sensor networks In Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (Mobicom), 2003, pp 81 95 32 Y Kim, J-J Lee, and A Helmy Modeling and analyzing the impact of location inconsistencies on geographic routing in wireless networks SIGMOBILE Mobile Computer and Communication Review (MC2R), 8(1):48 60, 2004 33 K Seada, A Helmy, and R Govindan On the effect of localization errors on geographic face routing in sensor networks In Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks (IPSN), 2004, pp 71 80 34 B Karp Challenges in geographic routing: Sparse networks, obstacles, and traf c provisioning Presented at DIMACS Workshop on Pervasive Networking, May 2001 35 C Lochert, M Mauve, H Fler, and H Hartenstein Geographic routing in city scenarios.

Throughput modelling and fairness issues in csma/ca based ad-hoc networks In INFOCOM, 2005 60 A Nasipuri, R Castaneda and S R Das Performance of multipath routing for on-demand protocols in mobile ad hoc networks Mobile Network Applications, 2001..

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ACM SIGMOBILE Mobile Computing and Communications Review (MC2R), 9(1):69 72, 2005 36 A Woo, T Tong, and D Culler Taming the underlying challenges of reliable multihop routing in sensor networks In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), 2003, pp 14 27 37 J Zhao and R Govindan Understanding packet delivery performance in dense wireless sensor networks In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), 2003, pp 1 13 38 Y-J Kim, R Govindan, B Karp, and S Shenker On the pitfalls of geographic face routing In Proceedings of the 2005 Joint Workshop on Foundations of Mobile Computing (DIALMPOMC, 2005, pp 34 43 39 B Leong, B Liskov, and R Morris Geographic routing without planarization In Proceedings of the 3rd USENIX Symposium on Networked Systems Design and Implementation (NSDI), San Jose, CA, May 2006 40 X Li, Y J.

Kim, R Govindan, and W Hong Multidimensional range queries in sensor networks In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), 2003, pp 63 75 41 H Balakrishnan, M F Kaashoek, D Karger, R Morris, and I Stoica Looking up data in p2p systems Communications of the ACM, 46(2):43 48, 2003 42 Y Shang, W Ruml, Y Zhang, and M P J Fromherz Localization from mere connectivity In Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking & Computing (MobiHoc), New York, 2003, pp 201 212 43 J Newsome and D Song Gem: Graph embedding for routing and data-centric storage in sensor networks without geographic information In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), 2003, pp 76 88 44 N Linial, L Lovasz, and A Widgerson Rubber bands, convex embeddings, and graph connectivity Combinatorica, 8(1):91 102, 1988 45.

However, in MANETs, segment loss is not predominantly the result of buffer over ows especially over long paths [12, 25] Furthermore, suboptimal performance can occur when TCP misinterprets segment loss as a sign of congestion, since reducing the sending rate may not be the optimal course of action in every such instance This section aims to outline the causes of additional segment loss in MANETs which highlight the importance and goals of ACK-thinning techniques Mobility-Induced Segment Loss As nodes in a MANET move freely, there may be frequent topology changes and links may be relatively short-lived compared to their hardwired counterparts As such, a source node s transmission attempt may fail as the destination moves out of the source s transmission radius.

java ean 13 reader

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