By Maia Fraser (auth.), Evangelos Kranakis, Jaroslav Opatrny (eds.)
This e-book constitutes the refereed complaints of the sixth foreign convention on Ad-Hoc Networks and instant, ADHOC-NOW 2007, held in Morelia, Mexico, in September 2007.
The 21 revised complete papers have been rigorously reviewed and chosen from 50 submissions. The papers are equipped in topical sections on routing, topology keep watch over, protection and privateness, protocols, in addition to caliber of provider and performance.
Read Online or Download Ad-Hoc, Mobile, and Wireless Networks: 6th International Conference, ADHOC-NOW 2007, Morelia, Mexico, September 24-26, 2007, Proceeedings PDF
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Extra resources for Ad-Hoc, Mobile, and Wireless Networks: 6th International Conference, ADHOC-NOW 2007, Morelia, Mexico, September 24-26, 2007, Proceeedings
Simulation results are reported in 4 and Section 5 sketches some conclusions and future work. 2 Related Work When nodes are aware of their geographic coordinates (for instance by the use of a GPS), a geographic routing based on these coordinates is feasible. The greedy approach is called Most Forward Routing (MFR) . In MFR, the source node forwards the message to the node that is closest to the destination. This is a simple localized algorithm that does not guarantee delivery. A package can be trapped in a local minimum and the algorithm fails to ﬁnd a path to the destination leading to low delivery rates.
Comparative complexity Cost Node memory MFR VCap RPT GPS N × L msg 2N + N1 msg own coordinates own coordinates own coordinates neighbors’ coordinates neighbors’ coordinates N is the number of nodes in the network. L refers to the number of landmarks used in the VCap protocol. Note that RPT requires the smaller amount of memory. On can also notice that RPT needs less message exchanges than VCap. We run the simulation using the routing algorithms for the same samples of node distribution. We considered 2 densities: low (average node degree 8) and dense (average node degree 15).
Progress and location based localized power aware routing for ah hoc sensor wireless networks. IJDSN 2, 147–159 (2006) 18. : Gdstr: Geographic routing without planarization. In: Proceedings of the 3rd Symposium on Network Systems Design and Implementation (NSDI 2006), pp. 25–25 (2006) 19. : Hybrid greedy/face routing for ad-hoc sensor network. DSD 0, 574–578 (2004) 20. : TAG: a tiny aggregation service for ad-hoc sensor networks. SIGOPS Operating Systems 36, 131–146 (2002) 21. : Distributed node location in clustered multi-hop wireless networks.