Transmission power control in MAC protocols for wireless sensor networks

Correia, Luiz H. A.; Macedo, Daniel F.; Silva, Daniel A. C.; Santos, Aldri; Loureiro, Antônio A. F.; Nogueira, José Marcos S.

doi:10.1145/1089444.1089494

Cited by 44 publications

(48 citation statements)

References 13 publications

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“…The variable nature of wireless links in sensor networks has been recorded in several empirical studies [15,14], and the idea of dynamically adapting transmit power has been explored before [6,2,12]. However, these earlier studies have targeted static deployments (e.g.…”

Section: Introductionmentioning

confidence: 99%

Adapting Radio Transmit Power in Wireless Body Area Sensor Networks

Xiao

Sivaraman

Burdett³

2008

Proceedings of the 3rd International ICST Conference on Body Area Networks

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Emerging body-wearable devices for continuous health monitoring are severely energy constrained and yet required to offer high communication reliability under fluctuating channel conditions. This paper investigates the dynamic adaptation of radio transmit power as a means of addressing this challenge. Our contributions are three-fold: we present empirical evidence that wireless link quality in body area networks changes rapidly when patients move; fixed radio transmit power therefore leads to either high loss (when link quality is bad), or wasted energy (when link quality is good). This motivates dynamic transmit power control, and our second contribution characterises the off-line optimal transmit power control that minimises energy usage subject to lower-bounds on reliability. Though not suited to practical implementation, the optimal gives insight into the feasibility of adaptive power control for body area networks, and provides a benchmark against which practical strategies can be compared. Our third contribution is to develop simple and practical on-line schemes that trade-off reliability for energy savings by changing transmit power based on feedback information from the receiver. Our schemes offer on average 9-25% savings in energy compared to using maximum transmit power, with little sacrifice in reliability, and demonstrate adaptive transmission power control as an effective technique for extending the lifetime of wireless body area sensor networks.

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Section: Introductionmentioning

confidence: 99%

Adapting Radio Transmit Power in Wireless Body Area Sensor Networks

Xiao

Sivaraman

Burdett³

2008

Proceedings of the 3rd International ICST Conference on Body Area Networks

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“…The proposed power control policy is optimal with respect to users dynamically allocating transmit power. Correia et al (2005) have devised two transmission power control protocols for WSNs, which can be embedded into any existing MAC protocol. The Science Publications AJAS first, called Hybrid, calculates the ideal transmission power using a closed control loop that iterates over the available transmissions powers in order to maintain a target link quality.…”

Section: Related Workmentioning

confidence: 99%

Signed Graph Approach in Adaptive Transmission Power to Enhance the Lifetime of Wireless Sensor Networks

Karuppiah¹,

Rajaram²

2014

American Journal of Applied Sciences

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A Wireless Sensor Network (WSN) comprises a collection of sensor nodes networked for applications like surveillance, battlefield, monitoring of habitat. Nodes in a WSN are usually highly energy-constrained and expected to operate for long periods from limited on-board energy reserves. When a node transmits data to a destination node the data is overheard by the nodes that are in the coverage range of the transmitting node or the forwarding node. Due to this, the individual nodes might waste their energy in sensing data that are not destined to it and as a result the drain in the energy of the node is more resulting in much reduced network life time. As power is a limiting factor in a WSN, the major challenge in deploying a WSN is to enhance the network life time. So, it becomes inevitable to devise an efficient method of conserving the power. In this study, a novel algorithm, Signed Graph based Adaptive Transmission Power (SGATP) is developed to avoid redundancy in sensing the data thereby enhancing the life time of the network. The concept of adapting the transmission power based on the distance of the next neighbor is proposed while a node communicates with the Cluster Head during Intrusion Detection. The simulation results show that the average network life time is greatly improvised by 96.8% when the proposed method is adopted.

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“…The most severe resource constraint in WSNs is energy [6] so TPC protocols which address this, are of most relevance. Through the implementation of a TPC protocol, communication can be carried out at a minimum energy cost.…”

Section: Introductionmentioning

confidence: 99%

Opportunities for transmission power control protocols in wireless sensor networks

Hughes

Lazaridis

Glover

et al. 2017

2017 23rd International Conference on Automation and Computing (ICAC)

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Abstract-This study investigates the opportunities for transmission power control (TPC) protocols in resource constrained wireless sensor networks (WSNs). The paper begins by creating a generalised model to describe the relationship between transmission power, communication reliability and energy consumption. Applying this model to the performance of state-of-the-art radio hardware, the maximum potential energy savings achievable through the implementation of a TPC protocol are identified. From this, previous assumptions about the limited impact of protocols and mechanisms, such as TPC, which seek to reduce the energy consumed by wireless communication activities through targeting the distance dependent term are disproven. This paper concludes by presenting guidelines on the link conditions which offer the greatest opportunities for a TPC protocol.

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Transmission power control in MAC protocols for wireless sensor networks

Cited by 44 publications

References 13 publications

Adapting Radio Transmit Power in Wireless Body Area Sensor Networks

Adapting Radio Transmit Power in Wireless Body Area Sensor Networks

Signed Graph Approach in Adaptive Transmission Power to Enhance the Lifetime of Wireless Sensor Networks

Opportunities for transmission power control protocols in wireless sensor networks

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