miniTP: A protocol for the minimization of the transmit power in wireless networks

Pianegiani, F.

doi:10.1109/imtc.2011.5944355

Cited by 5 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis in Rukpakavong et al (2011) considers only single hop network considering only packet loss and energy consumption. Transmit power adjustment with environmental changes is discussed in Pianegiani (2011). Interference, link quality and energy consumption is considered in Pianegiani (2011), but other network parameters like node density, throughput and channel access probability are ignored.…”

Section: Related Workmentioning

confidence: 99%

“…Transmit power adjustment with environmental changes is discussed in Pianegiani (2011). Interference, link quality and energy consumption is considered in Pianegiani (2011), but other network parameters like node density, throughput and channel access probability are ignored. A new power management scheme based on path loss model for 802.15.4 is implemented in Fu and Ma (2009).…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Effect of relay nodes and transmit power on end-to-end delay in multi-hop wireless ad hoc networks

Yerra

Rajalakshmi

2014

IJSSC

View full text Add to dashboard Cite

Channel access delay in a wireless multi-hop ad hoc network is the major source of delay while considering end-to-end delay. In this work, end-to-end delay is analysed considering silent relay nodes and effect of network parameters like node density and throughput. Given network parameter requirements and bound on end-to-end delay, optimal ranges of transmission radius and channel access probability can be obtained from the proposed analysis. Effect of silent relay nodes must be considered to maintain quality of service (QoS) metrics. Transmission power adaptability to reduce end-to-end delay is analysed considering the interference model. Increase in transmission power is not reducing end-to-end delay linearly. Simulation results show that increase in end-to-end delay due to channel access probability and throughput is considerably higher than node density. Also given the network parameters, end-to-end delay can be minimised only up to certain value irrespective of increase in transmit power.Keywords: silent relay nodes; channel access probability; node density; end-to-end delay; interference model; ad hoc networks; multi-hop.Reference to this paper should be made as follows: Yerra, R.V.P. and Rajalakshmi, P. He has around ten years of research and development experience in the broad areas of wireless communications, sensor networks, embedded systems and optical networks. She has over 20 refereed journal publications and conference publications. She has been actively involved in various government sponsored projects from DST and DIT like pervasive sensor networks, IoT-eHealth, cognitive radio networks, cyber physical systems, IoT-smarter for healthcare at IITH. This paper is a revised and expanded version of a paper entitled 'Effect of relay nodes on end-to-end delay in multi-hop wireless ad hoc networks'

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Effect of relay nodes and transmit power on end-to-end delay in multi-hop wireless ad hoc networks

Yerra

Rajalakshmi

2014

IJSSC

View full text Add to dashboard Cite

show abstract

“…In a more recent paper from Pianegiani [13], another iterative approach that judges the channel quality based on Packet-Acknowledgment Reception Rate (PARR) is described. When the PARR falls below a threshold, the power is increased iteratively, otherwise decreased.…”

Section: Related Workmentioning

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

View full text Add to dashboard Cite

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.

show abstract

A Node's Life: Increasing WSN Lifetime by Dynamic Voltage Scaling

Kulau

Büsching

Wolf

2013

2013 IEEE International Conference on Distributed Computing in Sensor Systems

View full text Add to dashboard Cite

Abstract-In mobile applications, like wireless sensor networks, it is often inevitable to use a location-independent source of energy. Wherever the batteries capacity or inefficient energy harvesting limits the lifetime, other solutions have to be implemented to increase the energy efficiency.Dynamic Voltage Scaling (DVS) is a well known technique with the ability to adapt the voltage level to the actual system load to save energy. While it has been used in many application areas, DVS has not been studied sufficiently for wireless sensor nodes. In this demo, we show the benefits of DVS. We were able to optimize DVS for an 8-Bit ULP micro controller by a combination of DVS and dynamic power management (DPM). Moreover, we analyzed the effect of voltage scaling on other components of the sensor node (transceiver, sensors and memory).Index Terms-wireless sensor node, energy efficiency, voltage scaling, hardware architecture, hardware design, dvs.

show abstract

miniTP: A protocol for the minimization of the transmit power in wireless networks

Cited by 5 publications

References 10 publications

Effect of relay nodes and transmit power on end-to-end delay in multi-hop wireless ad hoc networks

Effect of relay nodes and transmit power on end-to-end delay in multi-hop wireless ad hoc networks

Probe-Based Transmission Power Control for Dependable Wireless Sensor Networks

A Node's Life: Increasing WSN Lifetime by Dynamic Voltage Scaling

Contact Info

Product

Resources

About