The Fundamental Capacity-Delay Tradeoff in Large Mobile Ad Hoc Networks

There has been recent interest within the networking research community to understand how mobility can improve the capacity of mobile ad hoc networks. Of particular interest is the achievable capacity under delay constraints. In this paper, we establish the following upper bound on the optimal capacity-delay tradeoff in mobile ad hoc networks for an i.i.d. mobility model. For a mobile ad hoc network with n nodes, if the per-bit-averaged mean delay is bounded by D̄, then the per-node capacity λ is upper bounded by λ ≤ O( D̄n log 3 n). By studying the condition under which the upper bound is tight, we are able to identify the optimal values of several key scheduling parameters. We then develop a new scheme that can achieve a capacity-delay tradeoff close to the upper bound up to a logarithmic factor. Our new scheme achieves a larger per-node capacity than the schemes reported in previous works. In particular, when the delay is bounded by a constant, our scheme achieves a per-node capacity of Θ(n/ logn). This indicates that, for the i.i.d. mobility model, mobility results in a larger capacity than that of static networks even with constant delays. Finally, the insight drawn from the upper bound allows us to identify limiting factors in existing schemes. These results present a relatively complete picture of the achievable capacity-delay tradeoffs under different settings.

[1]  Andrea J. Goldsmith,et al.  Large wireless networks under fading, mobility, and delay constraints , 2004, IEEE INFOCOM 2004.

[2]  Michael Gastpar,et al.  On the capacity of wireless networks: the relay case , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[3]  R. Durrett Probability: Theory and Examples , 1993 .

[4]  Devavrat Shah,et al.  Throughput-delay trade-off in wireless networks , 2004, IEEE INFOCOM 2004.

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

[6]  Ravi R. Mazumdar,et al.  Delay and Capacity Trade-o in Wireless Ad Hoc Networks with Random Mobility , 2004 .

[7]  Zhen Liu,et al.  Capacity, delay and mobility in wireless ad-hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[8]  Rick S. Blum,et al.  Delay limited capacity of ad hoc networks: asymptotically optimal transmission and relaying strategy , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[9]  Panganamala Ramana Kumar,et al.  Towards an information theory of large networks: an achievable rate region , 2003, IEEE Trans. Inf. Theory.

[10]  David Tse,et al.  Mobility increases the capacity of ad-hoc wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[11]  M. E. Woodward,et al.  Communication and computer networks - modelling with discrete-time queues , 1993 .

[12]  Eytan Modiano,et al.  Capacity and delay tradeoffs for ad hoc mobile networks , 2005, IEEE Trans. Inf. Theory.

[13]  Suhas Diggavi,et al.  Even one-dimensional mobility increases ad hoc wireless capacity , 2002, Proceedings IEEE International Symposium on Information Theory,.