Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
On the capacity improvement of ad hoc wireless networks using directional antennas
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Lattice networks: capacity limits, optimal routing, and queueing behavior
IEEE/ACM Transactions on Networking (TON)
802.11 Wireless Networks: The Definitive Guide, Second Edition
802.11 Wireless Networks: The Definitive Guide, Second Edition
Analysis of MPR Selection in the OLSR Protocol
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Overhaul of ieee 802.11 modeling and simulation in ns-2
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
Proceedings of the 4th Annual International Conference on Wireless Internet
The achievable rate region of 802.11-scheduled multihop networks
IEEE/ACM Transactions on Networking (TON)
Non-asymptotic delay bounds for networks with heavy-tailed traffic
INFOCOM'10 Proceedings of the 29th conference on Information communications
The capacity of wireless networks
IEEE Transactions on Information Theory
Stability and capacity of regular wireless networks
IEEE Transactions on Information Theory
Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory
IEEE Transactions on Information Theory
Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks
IEEE Transactions on Information Theory
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
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We present a framework for non-asymptotic analysis of real-world wireless networks that captures protocol overhead, congestion bottlenecks, traffic heterogeneity and other real-world concerns. The framework introduces the definition of symptotic1 scalability, and a metric called change impact value (CIV) for comparing the impact of underlying system parameters on network scalability. A key idea is to divide analysis into generic and specific parts connected via a signature -- a set of governing parameters of a network scenario -- such that analyzing a new network scenario reduces mainly to identifying its signature. Using this framework, we present approximate scalability expressions for line, mesh and clique topologies using TDMA and 802.11, for unicast and broadcast traffic. We compare the analysis with discrete event simulations and show that the model provides sufficiently accurate estimates of scalability. Based on the symptotic expressions, we study the change impact value of underlying parameters on network scalability. We show how impact analysis can be used to tune network features to meet a scaling requirement, and determine the regimes in which reducing routing overhead impacts performance.