On the performance of ad hoc networks with beamforming antennas

Ramanathan, Ram

doi:10.1145/501416.501430

Cited by 249 publications

(264 citation statements)

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“…Although the proposed protocol requires extensive channel and topological information for its implementation, its simulation study shows significant benefits from long distance links that can be established only by using directional antennas. Similar to the cases in [18], DMAC, its baseline directional MAC protocol (without multi-hop RTS) does not yield good performance due to high interference caused by no transmission power adjustment for directional transmission.…”

Section: Related Workmentioning

confidence: 87%

“…The use of directional antennas in MANETs has been proposed more than a decade ago [1,27], but extensive studies have been made [3,4,6,9,13,18,[22][23][24] only recently as their deployment at mobile stations becomes realistic. Except for [6] and [18], the use of directional antennas is focused on the increase in network capacity by improving the spatial reuse, and communication range of each network node is kept the same for omnidirectional and directional communications.…”

Section: Related Workmentioning

confidence: 99%

“…Except for [6] and [18], the use of directional antennas is focused on the increase in network capacity by improving the spatial reuse, and communication range of each network node is kept the same for omnidirectional and directional communications.…”

Section: Related Workmentioning

confidence: 99%

“…Ramanathan [18] examined various configurations of network nodes with directional antennas. One of the configurations attempted the communication range extension by keeping the transmission power for directional transmission, but it did not improve the network performance due to reduced network capacity.…”

Section: Related Workmentioning

confidence: 99%

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Performance Evaluation of Directional Adaptive Range Control in Mobile Ad Hoc Networks

2005

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This paper presents DARC (Directional Adaptive Range Control), a range control mechanism using directional antennas to be implemented across multiple layers. DARC uses directional reception for range control rather than directional transmission in order to achieve both range extension and high spatial reuse. It adaptively controls the communication range by estimating dynamically changing local network density based on the transmission activities around each network node. The experimental results using simulation with detailed physical layer, IEEE 802.11 DCF MAC, and AODV protocol models have shown the successful adaptation of communication range with DARC for varied network densities and traffic loads. DARC improves the packet delivery ratio by a factor of 9 at the maximum for sparse networks while it maintains the increased network capacity for dense networks. Further, as each node adaptively changes the communication range, the network delivers up to 20% more packets with DARC compared to any fixed range configurations.

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Section: Related Workmentioning

confidence: 87%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Performance Evaluation of Directional Adaptive Range Control in Mobile Ad Hoc Networks

2005

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“…Distributed algorithms [6,17] are proposed to locate devices in such wireless sensor networks using parallel and iterative estimation algorithms. There are other methods proposed in literature, in which sensor nodes measure DOA and time-of-arrival (TOA) [18] or RSS I only [19] to determine their locations. However, location estimation must be enabled in a manner consistent with the low power, low cost and low configuration requirements of sensor nodes.…”

Section: Location Estimation Using the Ss Schemementioning

confidence: 99%

The Sectoral Sweeper Scheme for Wireless Sensor Networks: Adaptive Antenna Array Based Sensor Node Management and Location Estimation

Erdoğan

Çoşkun

Kavak

2006

Wireless Pers Commun

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We introduce a novel sensor node management and location estimation method referred as sectoral sweeper (SS) scheme that uses an adaptive antenna array (AAA) at a central node in wireless sensor networks (WSNs). With the SS scheme, the central node can activate or deactivate the nodes in a desired region which is specified by beam direction and beam width of the transmit beam and also by minimum and maximum thresholds (R min and R max ) for the received signal strength indicator (RSSI) of signals received by the nodes. In order to perform a specified task that is associated with a Task id, two different beams are transmitted, which are task region beam and routing region beam to switch the nodes into active or routing modes. Since our scheme does not require any additional software or hardware for node management and location estimation in sensor nodes, the deficiencies of tiny sensors are effectively eliminated. The proposed scheme is shown to reduce the number of sensing nodes and the amount of data traffic in the network, thus leading to considerable savings in energy consumption and prolonged sensor lifetime.

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