Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks

Jeong, Jaein; Culler, David; Oh, Jae-Hyuk

doi:10.1109/inss.2007.4297383

Cited by 91 publications

(56 citation statements)

References 8 publications

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“…There are two main schemes including broadcasting messages and obtaining the topology from the routing protocol. Alternatively, a beacon is broadcast for the discovery [5][6].…”

Section: B Transmission Power Controlmentioning

confidence: 99%

“…Several measurements such as the Received Signal Strength Indicator (RSSI) and the Link Quality Indication (LQI) are used for the feedback mechanism to let the transmitting node know the current link quality and the power required to reach its destination node [5][6]. Other attributes were used as the feedback such as the Packet Reception Rate (PRR) [4] and life messages [23].…”

Section: B Transmission Power Controlmentioning

confidence: 99%

“…It is developed to provide an efficient data communication in single-hop WSNs where the sources communicate directly with their base station. In order to conserve transmission energy, PoRAP adopts the Transmission Power Control (TPC) approach like [4][5][6]. The adaptation criterion depends upon the relationship between Received Signal Strength Indicator (RSSI) and Packet Reception Rate (PRR).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Energy Aware Protocol for Cyclic Monitoring Wireless Sensor Networks

Khemapech

Duncan

Miller

2013

2013 IEEE Eighth International Conference on Networking, Architecture and Storage

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“…There are two main schemes including broadcasting messages and obtaining the topology from the routing protocol. Alternatively, a beacon is broadcast for the discovery [5][6].…”

Section: B Transmission Power Controlmentioning

confidence: 99%

Section: B Transmission Power Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Energy Aware Protocol for Cyclic Monitoring Wireless Sensor Networks

Khemapech

Duncan

Miller

2013

2013 IEEE Eighth International Conference on Networking, Architecture and Storage

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“…In general, we note that per-cell approaches have to necessarily degenerate into per-link approaches to efficiently deal with mobility. Finally, we identify the lack of a solution for this problem in approaches proposed for other domains such as sensor networks ( [49,20,29,22]) or CDMA cellular networks ( [17,51,13,18]) mainly because they rely on different multiple access techniques.…”

Section: Existing Solutions and Drawbacksmentioning

confidence: 99%

Symphony: Synchronous Two-Phase Rate and Power Control in 802.11 WLANs

Ramachandran¹,

Kokku²,

Zhang³

et al. 2010

IEEE/ACM Trans. Networking

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Adaptive transmit power control in 802.11 Wireless LANs (WLANs) on a per-link basis helps increase network capacity and improves battery life of Wifi-enabled mobile devices. However, it faces the following challenges: (1) it can exacerbate receiver-side interference and asymmetric channel access, (2) it can incorrectly lead to lowering the data rate of a link, (3) mobility-induced channel variations at short timescales make detecting and avoiding these problems more complex. Despite significant research in rate and power control, state of the art solutions lack comprehensive techniques to address the above problems.In this paper, we design and implement Symphony-a Synchronous Two-phase Rate and Power control system, whose agility in adaptation enables us to systematically address the three problems, while maximizing the benefits of power control on a per-link basis. We implement Symphony in the Linux MadWifi driver, and show that it can be realized on hardware that supports transmit power control with no modifications to the 802.11 MAC, thereby fostering immediate deployability. Our extensive experimental evaluation on a real testbed in an office environment demonstrates that Symphony (1) enables up to 80% of the clients in 3 different cells to settle at 50% to 94% lower transmit power than a percell power control solution, (2) increases network throughput by up to 50% across realistic deployment scenarios, (3) improves the throughput of asymmetry-affected links by 300%, and (4) opportunistically reduces the transmit power of mobile clients running VOIP calls by up to 97%, while causing minimum impact on voice quality.

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“…Furthermore, not all channels are equally well suited for such networks because of background noise [5]. Since higher transmission power generally means more potential for interference [6], we aim at reducing the transmission power to the necessary minimum. Since the spatial coverage correlates with transmission power that translates into reduced potential interference.…”

Section: Introductionmentioning

confidence: 99%

Probe-Based Transmission Power Control for Dependable Wireless Sensor Networks

Pöttner

Wolf

2013

2013 IEEE International Conference on Distributed Computing in Sensor Systems

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Abstract-Dependable Wireless Sensor Networks for industrial process automation, monitoring and control applications have high demands regarding network reliability in terms of timely delivery and packet loss. In large industrial facilities, interference between neighboring networks is a major problem that can be mitigated by reducing the radio transmission power to the necessary minimum. However, reliability of the network should not be compromised even in spite of packet loss bursts.In this paper we aim at keeping the link within certain burstiness bounds while still minimizing the transmission power. We present evaluation results showing that the burstiness changes with the receiver signal strength. Based on this observation we present two mechanisms for dependable wireless sensor networks and study the performance in our testbed.

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Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks

Cited by 91 publications

References 8 publications

An Energy Aware Protocol for Cyclic Monitoring Wireless Sensor Networks

An Energy Aware Protocol for Cyclic Monitoring Wireless Sensor Networks

Symphony: Synchronous Two-Phase Rate and Power Control in 802.11 WLANs

Probe-Based Transmission Power Control for Dependable Wireless Sensor Networks

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