By Rafael Marin-Perez, Pedro Miguel Ruiz (auth.), Hannes Frey, Xu Li, Stefan Ruehrup (eds.)
This ebook constitutes the refereed court cases of the tenth overseas convention on Ad-hoc, cellular, and instant Networks, ADHOC-NOW 2011 held in Paderborn, Germany, July 18-20, 2011.
The 23 revised complete papers provided including four invited papers have been rigorously reviewed and chosen from fifty three submissions. The papers are equipped in topical sections on routing and job scheduling, topology regulate, medium entry keep an eye on, safeguard, mobility administration and dealing with, functions and evaluate, and analytical considerations.
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Additional info for Ad-hoc, Mobile, and Wireless Networks: 10th International Conference, ADHOC-NOW 2011, Paderborn, Germany, July 18-20, 2011. Proceedings
V) n T Suj = dcn u,k ∗ rsj,k 1≤k≤K j Compute T Suv = tsuj,k ∗ tsvj,k 1≤k≤K } T Suv = T Suj 1≤j≤J } Fig. 2. Resource allocation algorithm for WMSN Algorithm 3. 3 Multi-constrained QoS Routing The objective of QoS routing is to find a path from a source s to a destination d using the minimum amount of network resources such as energy consumption per route, residual battery power per node, available time slots, while satisfying various QoS constraints, such as delay, reliability, etc. When multiple routing metrics are considered, the problem becomes a multi-constrained path problem, which has been mathematically proven in  to be NP-complete.
However, in MobileCOP nodes are moved only after the ﬁrst path is computed then-after, nodes memorize the path which will be used in future transmissions. Therefore, energy added at subsequent route computation results only from sending cost. Results show that Routing on the move and M ove(r) converge quickly since they use the same path after computing the ﬁrst 3 consecutive routes from S to D. Since MobileCOP does not take into account the moving energy consumption in its routing decision, the distance moved by each node is the same for each model, but has diﬀerent costs.
E. by putting the adequate time slots to 0, for each node participating in a path). ⎛ ⎛ n ⎞ ⎞ dc1,1 .. dcn1,K DC1n ⎜ . ⎟ ⎜ . . ⎟ ⎟ ⎟ DC n = ⎜ =⎜ (14) ⎝ . ⎠ ⎝ . . ⎠ n n n DCN N K dcN,1 .. dcN,K N K Algorithm 1. 2 Resource Allocation The objective of the resource allocation process is to optimally allocate available resource in terms of time slots per available frequency channels to ensure QoS support and to enhance both energy efficiency and channel utility. As Sleep/Wake scheduling problem, the resource allocation is also in joint correlation with routing process and application requirements.
Ad-hoc, Mobile, and Wireless Networks: 10th International Conference, ADHOC-NOW 2011, Paderborn, Germany, July 18-20, 2011. Proceedings by Rafael Marin-Perez, Pedro Miguel Ruiz (auth.), Hannes Frey, Xu Li, Stefan Ruehrup (eds.)