Title :
On the scalability and capacity of wireless networks with omnidirectional antennas
Author :
Arpacioglu, Onur ; Haas, Zygmunt J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
We consider a wireless network of N nodes equipped with omnidirectional antennas, and we extend the capacity results of some previous works by finding bounds on the maximum achievable per-node end-to-end throughput, λe, while using a general network model and a bounded propagation model. Specifically, we show that when the network domain has a fixed area, λe is Θ(1/N) even when the mobility pattern of the nodes, the temporal variation of transmission powers, the source-destination pairs, and the possibly multi-path routes between them are optimally chosen. This result continues to hold even when the nodes are capable of maintaining multiple transmissions and/or receptions simultaneously, or when the communication bandwidth is partitioned into sub-channels of smaller bandwidth. We also address how λe depends on the other network parameters such as the area of the network domain, the path loss exponent, or the average number of hops between a source and a destination. Finally, we determine some required conditions to achieve a non-vanishing per-node end-to-end throughput as the number of nodes in the network grows large.
Keywords :
ad hoc networks; antennas; channel capacity; optimisation; telecommunication network routing; telecommunication traffic; bounded propagation model; communication bandwidth; general network model; mobility pattern; multipath routes; multiple transmissions; network capacity; network domain; network parameters; network scalability; network throughput; omnidirectional antennas; path loss exponent; source-destination pairs; temporal variation; transmission powers; wireless networks; Bandwidth; Constraint optimization; Information theory; Peer to peer computing; Permission; Research initiatives; Scalability; Throughput; Wireless communication; Wireless networks;
Conference_Titel :
Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on
Print_ISBN :
1-58113-846-6
DOI :
10.1109/IPSN.2004.1307336