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The capacity of wireless networks
The capacity of wireless networks,10.1109/18.825799,IEEE Transactions on Information Theory,Piyush Gupta,P. r. Kumar
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The capacity of wireless networks
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Citations: 4179
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Piyush Gupta
,
P. r. Kumar
Abstract—When identical randomly located nodes, each capable of transmitting at bits per second and using a fixed range, form a wireless network, the throughput @ A obtainable by each node for a randomly chosen destination is 2 bits per second under a noninterference protocol. If the nodes are optimally placed in a disk of unit area, traffic patterns are optimally assigned, and each transmission’s range is optimally chosen, the bit–distance product that can be transported by the network per second is 2 @ A bitmeters per second. Thus even under optimal circumstances, the throughput is only 2 bits per second for each node for a destination nonvanishingly far away. Similar results also hold under an alternate
physical model
where a required signaltointerference ratio is specified for successful receptions. Fundamentally, it is the need for every node all over the domain to share whatever portion of the channel it is utilizing with nodes in its local neighborhood that is the reason for the constriction in capacity. Splitting the channel into several subchannels does not change any of the results. Some implications may be worth considering by designers. Since the throughput furnished to each user diminishes to zero as the number of users is increased, perhaps networks connecting smaller numbers of users, or featuring connections mostly with nearby neighbors, may be more likely to be find acceptance. Index Terms—Ad hoc networks, capacity, multihop radio networks, throughput, wireless networks. I.
Journal:
IEEE Transactions on Information Theory  TIT
, vol. 46, no. 2, pp. 388404, 2000
DOI:
10.1109/18.825799
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Citation Context
(3211)
...Table 4: Average and maximum rounds for convergence and maximum consecutive rounds with no news It should be pointed out that very large “2d” networks are unrealistic [
8
], and that these would lead to large diameters (already around 140 hops in the 10000 node network used)...
Carlos Baquero
,
et al.
Extrema Propagation: Fast Distributed Estimation of Sums and Network S...
...Gupta and Kumar initiated the research on capacity of random wireless networks by studying the unicast capacity in the seminal paper [
9
]...
Siyuan Chen
,
et al.
Capacity of Data Collection in Arbitrary Wireless Sensor Networks
...In contrast, the datacentric nature of sensor networks was exploited in Giridhar and Kumar (
2000
), where it was shown that if we are dealing with a symmetric function of the measurements, i...
Ariën J. van der Wal
.
Selforganization and emergent behaviour: distributed decision making ...
...Simulation parameters are presented in Table II. We use the RADIO ACCNOISE model, which simulates the behavior of the physical interference model [
35
] such that interference from multiple senders is captured...
Özlem Durmaz Incel
,
et al.
MCLMAC: A multichannel MAC protocol for wireless sensor networks
...Previously, e.g., in [
2
, 3], only direct interference was characterized...
...The famous link interference models, e.g., the protocol and physical models [
2
], are proposed originally for a wireless network with single packet reception...
...In [
2
], the protocol model is defined to model the relation between two links...
Shaohe Lv
,
et al.
Scheduling in wireless ad hoc networks with successive interference ca...
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Sort by:
Citations
(4179)
Extrema Propagation: Fast Distributed Estimation of Sums and Network Sizes
(
Citations: 3
)
Carlos Baquero
,
Paulo Sergio Almeida
,
Raquel Menezes
Journal:
IEEE Transactions on Parallel and Distributed Systems  TPDS
, vol. 23, no. 4, pp. 668675, 2012
Distributed Resource Allocation Based on Queue Balancing in Multihop Cognitive Radio Networks
Wei Wang
,
Kang G. Shin
,
Wenbo Wang
Journal:
IEEE/ACM Transactions on Networking  TON
, vol. 20, no. 3, pp. 837850, 2012
Capacity of Data Collection in Arbitrary Wireless Sensor Networks
Siyuan Chen
,
Minsu Huang
,
Shaojie Tang
,
Yu Wang
Journal:
IEEE Transactions on Parallel and Distributed Systems  TPDS
, vol. 23, no. 1, pp. 5260, 2012
Selforganization and emergent behaviour: distributed decision making in sensor networks
Ariën J. van der Wal
Journal:
International Journal of General Systems  INT J GEN SYSTEM
, vol. aheadofp, no. aheadofp, pp. 119, 2012
MCLMAC: A multichannel MAC protocol for wireless sensor networks
(
Citations: 9
)
Özlem Durmaz Incel
,
Lodewijk van Hoesel
,
Pierre G. Jansen
,
Paul J. M. Havinga
Journal:
Ad Hoc Networks
, vol. 9, no. 1, pp. 7394, 2011