Practical control of transmission power for Wireless Sensor Networks

Fu, Yong; Sha, Mo; Hackmann, Gregory; Lu, Chenyang

doi:10.1109/icnp.2012.6459981

Cited by 27 publications

(6 citation statements)

References 24 publications

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“…There are papers devoted to conduct practical experiments to improve link quality, such as [ 38 , 91 , 92 , 93 ]. Adaptive and Robust Topology control (ART) [ 38 ], an adaptive topology control protocol, is based on extensive empirical study of the link quality in the indoor environment.…”

Section: Topology Controlmentioning

confidence: 99%

“…Instead, it may decrease the transmission power under high contention. The work in [ 91 ] proposes a protocol that applies a control-theoretic approach to control the packet reception ratio (PRR) directly. The receiver monitors all incoming packages and records the package transmission failures and then computes the transmission power needed for the next round.…”

Section: Topology Controlmentioning

confidence: 99%

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ResilientWireless Sensor Networks Using Topology Control: A Review

Huang

Martínez-Ortega

Sendra

et al. 2015

Sensors

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Wireless sensor networks (WSNs) may be deployed in failure-prone environments, and WSNs nodes easily fail due to unreliable wireless connections, malicious attacks and resource-constrained features. Nevertheless, if WSNs can tolerate at most losing k − 1 nodes while the rest of nodes remain connected, the network is called k − connected. k is one of the most important indicators for WSNs’ self-healing capability. Following a WSN design flow, this paper surveys resilience issues from the topology control and multi-path routing point of view. This paper provides a discussion on transmission and failure models, which have an important impact on research results. Afterwards, this paper reviews theoretical results and representative topology control approaches to guarantee WSNs to be k − connected at three different network deployment stages: pre-deployment, post-deployment and re-deployment. Multi-path routing protocols are discussed, and many NP-complete or NP-hard problems regarding topology control are identified. The challenging open issues are discussed at the end. This paper can serve as a guideline to design resilient WSNs.

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Section: Topology Controlmentioning

confidence: 99%

Section: Topology Controlmentioning

confidence: 99%

ResilientWireless Sensor Networks Using Topology Control: A Review

Huang

Martínez-Ortega

Sendra

et al. 2015

Sensors

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show abstract

“…On the other hand, concerning the physical and MAC layers, transmission power control and channel allocation strategies can be very effective to increase the network lifetime [3]. On one hand, the transmission power control algorithms reduce the energy consumption and the collision probability of the network [4][5][6][7]. This is performed by adjusting the transmission power of each node at the minimum level that guarantees an acceptable reliability at the receiver.…”

Section: Introductionmentioning

confidence: 99%

Joint routing, channel allocation and power control for real‐life wireless sensor networks

Barceló

Correa

Vicario

et al. 2014

Trans. Emerging Tel. Tech.

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The energy consumption of wireless sensor networks (WSNs) is a critical issue, because replacement of their batteries can be difficult or even impossible. It is well known that the radio is the most energy demanding part of the node. Therefore, efficient communications are imperative to increase the network lifetime. However, many issues arise in practical WSNs implementations because of the uncertainty and dynamics of the environment and the complexity constraints of the nodes. Routing protocol for low‐power and lossy networks (RPL) is one of the most widely implemented routing strategies because it deals with many of these practical issues. Unfortunately, this protocol does not adapt the nodes' transmission power nor the nodes' transmission channel. Nowadays, commercial motes have multi‐power and multi‐channel capabilities, and these can be used to reduce the network consumption and avoid the high collision probability that may arise in convergecast networks. In this paper, we enhance RPL to obtain a joint routing, transmission power control and channel allocation solution for real‐life WSNs. Two different strategies (minimum aggregated power and maximum probability delivery ratio) are designed and implemented in a WSN testbed with commercial motes. They are compared with the original RPL and also with other standard routing protocols, such as the routing strategy adopted in ZigBee. The experimental results show that the network performance is improved both in terms of reliability and energy consumption. Copyright © 2014 John Wiley & Sons, Ltd.

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“…There are papers dedicated to conduct practical experiments aimed to improve link quality, such as [55] [153][93] [139]. ART [55], an adaptive topology control protocol, is based on empirical study of the link quality in the indoor environment.…”

Section: ⋄ Link Qualitymentioning

confidence: 99%

“…Instead, it may decrease the transmission power under high contention. [153] proposes a protocol that applies a control-theoretic approach to control packet reception ratio (PRR) directly. The receiver monitors all incoming packets, records the packet transmission failures and then computes the transmission power needed next round.…”

Section: ⋄ Link Qualitymentioning

confidence: 99%

Contributions to the Resilience Management in the Internet of Things

Huang¹

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Resumen v List of Figures ixList of Tables x me when writing scientific papers. Most importantly, Prof. José-Fernán provided me the perfect balance of guidance and freedom during the past years. Prof. Juana Sendra helped me in developing the mathematical models, and giving me valuable comments and criticisms on my manuscripts. I would also like to thank both of them for spending countless time to read this thesis. Without their help and support, I would not be where I am today.I am also deeply grateful to Prof. Vicente Hernández Díaz, Néstor Lucas Martínez, and Raúl Mario del Toro Matamoros, who contributed to ideas, insights and useful feedback. They have shown me how to understand and develop the software for sensor networks. It was my pleasure to discuss with them, and learn lots of techniques from them.It is impossible to acknowledge all people. However, I wish to express my gratitude to the past and current colleagues in the group. Special thanks are due to Pedro Castillejo for providing useful advices and always being nice to talk to, and Jesus Rodríguez for his help in improving my written English.

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Practical control of transmission power for Wireless Sensor Networks

Cited by 27 publications

References 24 publications

ResilientWireless Sensor Networks Using Topology Control: A Review

ResilientWireless Sensor Networks Using Topology Control: A Review

Joint routing, channel allocation and power control for real‐life wireless sensor networks

Contributions to the Resilience Management in the Internet of Things

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