Adaptive topology control for throughput optimization in wireless Sensor Networks

Tao, Wenhui; Chen, Cailian; Yang, Bo; Guan, Xinping

doi:10.1109/icct.2010.5689070

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Douglas et al [9], Indranil et al [10], Ewa [11] attempted to optimize number of neighbors to the node with varying transmit power level. Wenhui Tao et al [12] using exclusive area concept adjusted transmit power to optimize the throughput. In [13] Shashi proposed hexagonal backbone for interference optimization.…”

Section: Related Workmentioning

confidence: 99%

Optimizing BER in Sensor Network by Adding Relay Nodes

Reddy¹,

Rao²

2013

IJCTE

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Abstract-Topology control in wireless sensor networks tries to improve the performance by reducing transmission power and by confining interference, collisions and consequently retransmissions. Network performance is assessed using LQI, RSSI, BER etc. LQI a metric introduced in IEEE802.15.4 that measure the error in incoming modulation of successfully received packets [1]. In this paper, we analyze popular topology control algorithms w.r.t weak link BER and propose a novel technique to optimize BER with additional relay nodes. We introduce additional relay nodes to make the network connected instead of increasing the power. Thus it also results in saving energy.We have also evaluated the algorithm combining with LIFE, GG and RNG algorithms and demonstrated its superiority in giving high quality network.

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Section: Related Workmentioning

confidence: 99%

Optimizing BER in Sensor Network by Adding Relay Nodes

Reddy¹,

Rao²

2013

IJCTE

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“…The problem of maximizing the throughput using topology control is discussed in (Tao et al, 2010). Assuming that the WSN is presented through an RNG (or a GG), their algorithm adjusts the intersection zone between two neighbor nodes in the respective graph (the intersection zone between two neighbors is depicted in Fig.…”

Section: Power Controlmentioning

confidence: 99%

Review of Optimization Problems in Wireless Sensor Networks

Gogu¹,

Nace²,

Dilo³

et al. 2012

Telecommunications Networks - Current Status and Future Trends

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“…However, [5] has no analysis model for the network throughput performance. In [6], an adaptive topology control (ATC) algorithm is proposed that changes its exclusive area under different conditions. The authors also analyzed the expected throughput using the graph theory.…”

Section: Two-dimensional Topology Controlmentioning

confidence: 99%

Topology Control Algorithm considering Antenna Radiation Pattern in Three-Dimensional Wireless Sensor Networks

Youn

Lee

2014

International Journal of Distributed Sensor Networks

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Topology control is a key issue of wireless sensor network to reduce energy consumption and communication collision. Topology control algorithms in three-dimensional space have been proposed by modifying existing two-dimensional algorithms. These algorithms are based on the theoretical assumption that transmission power is radiated equally to the all directions by using isotropic antenna model. However, isotropic antenna does not exist, which is hypothetical antenna to compare the real antenna performance. In the real network, dipole antenna is applied, and because of the radiation pattern, performance of topology control algorithm is degraded. We proposed local remapping algorithm to solve the problem and applied it to existing topology control algorithms. Simulation results show that our algorithm increases performance of existing algorithms and reduces power consumption.

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Adaptive topology control for throughput optimization in wireless Sensor Networks

Cited by 7 publications

References 7 publications

Optimizing BER in Sensor Network by Adding Relay Nodes

Optimizing BER in Sensor Network by Adding Relay Nodes

Review of Optimization Problems in Wireless Sensor Networks

Topology Control Algorithm considering Antenna Radiation Pattern in Three-Dimensional Wireless Sensor Networks

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