Optimal design and operation of massively dense wireless networks: or how to solve 21st century problems using 19th century mathematics

In this overview paper, we present a few instructive examples on the optimal design and operation of massively dense wireless network. These networks contain such a large number of nodes that, in addition to the standard microscopic view, an additional macroscopic view of them emerges. The macroscopic view is not as detailed, but nevertheless preserves sufficient information to allow a meaningful network optimization and the derivation of insightful results in a wide range of settings. A prominent feature of massively dense networks is their amenability to mathematics and branches of physics that are unusual in the context of networking, for example Calculus of Variations, Electrostatics, and Optics.

[1]  Martin Mauve,et al.  A survey on position-based routing in mobile ad hoc networks , 2001, IEEE Netw..

[2]  Anthony Ephremides,et al.  Scheduling broadcasts in multihop radio networks , 1990, IEEE Trans. Commun..

[3]  Stavros Toumpis,et al.  Optimal placement of nodes in large sensor networks under a general physical layer model , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[4]  Martin Vetterli,et al.  Locating nodes with EASE: last encounter routing in ad hoc networks through mobility diffusion , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[5]  Lin Xiao,et al.  Cross-layer optimization of wireless networks using nonlinear column generation , 2006, IEEE Transactions on Wireless Communications.

[6]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[7]  Anna Scaglione,et al.  A continuum approach to dense wireless networks with cooperation , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[8]  Mark A. Shayman,et al.  Energy Efficient Routing in Wireless Sensor Networks , 2003 .

[9]  Giacomo Morabito,et al.  Optimal Routing in Dense Wireless Multihop Networks as a Geometrical Optics Solution to the Problem of Variations , 2006, 2006 IEEE International Conference on Communications.

[10]  Anna Scaglione,et al.  Asymptotic analysis of multistage cooperative broadcast in wireless networks , 2006, IEEE Transactions on Information Theory.

[11]  Mark A. Shayman,et al.  Design optimization of multi-sink sensor networks by analogy to electrostatic theory , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[12]  G. Morabito,et al.  Optical Routing in Massively Dense Networks: Practical Issues and Dynamic Programming Interpretation , 2006, 2006 3rd International Symposium on Wireless Communication Systems.

[13]  Leandros Tassiulas,et al.  Optimal deployment of large wireless sensor networks , 2006, IEEE Transactions on Information Theory.

[14]  M. Shayman,et al.  Routing in Multi-Commodity Sensor Networks Based on Partial Differential Equations , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

[15]  Mark A. Shayman,et al.  Routing in wireless ad hoc networks by analogy to electrostatic theory , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[16]  Philippe Jacquet Space-time information propagation in mobile ad hoc wireless networks , 2004, Information Theory Workshop.

[17]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[18]  François Baccelli,et al.  Optimal Power, Throughput and Routing for Wireless Link Arrays , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[19]  David Tse,et al.  Mobility increases the capacity of ad hoc wireless networks , 2002, TNET.

[20]  Leandros Tassiulas,et al.  Resource Allocation and Cross-Layer Control in Wireless Networks , 2006, Found. Trends Netw..

[21]  Leandros Tassiulas,et al.  Packetostatics: deployment of massively dense sensor networks as an electrostatics problem , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[22]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[23]  J. Virtamo,et al.  On load balancing in a dense wireless multihop network , 2006, 2006 2nd Conference on Next Generation Internet Design and Engineering, 2006. NGI '06..

[24]  Philippe Jacquet,et al.  Geometry of information propagation in massively dense ad hoc networks , 2004, MobiHoc '04.

[25]  E. Wolf,et al.  Principles of Optics (7th Ed) , 1999 .

[26]  Anna Scaglione,et al.  On the power efficiency of cooperative broadcast in dense wireless networks , 2007, IEEE Journal on Selected Areas in Communications.

[27]  Ram Ramanathan,et al.  On the scalability of ad hoc routing protocols , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.