Facing challenges in evaluation of WSN energy efficiency with distributed energy measurements

Hergenröder, Anton; Horneber, Jens

doi:10.1109/iwcmc.2011.5982678

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…Fig.10 shows a tree topology. Node1, node4 and nodes (6)(7)(8)(9)(10)(11)(12) are sensor nodes, node2, node3 and node5 are routers which can not only collection data but also relay data between sensor nodes and base station, node0 is the base station. Fig.11 is a mesh topology, the difference between Fig.10 and Fig.11 is that there are more paths to choose as the red dotted line shown.…”

Section: Simulation Setupmentioning

confidence: 99%

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Hybrid TDMA/CDMA MAC Protocol for Wireless Sensor Networks

Ma¹,

Leung²,

Li³

2014

JNW

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A hybrid TDMA/CDMA MAC protocol for WSN is proposed that combines the strengths of TDMA and CDMA while offsetting their weaknesses. The proposed scheme allows the network to operate in a collision-free manner, and takes advantage of broadband property provided by CDMA. The main features of this hybrid protocol are high throughput and low latency. Performance of this new protocol is compared with Zigbee, SMAC, TDMA and CDMA uses both OPNET simulation and real wireless sensor network experiments based on Crossbow's IRIS node.

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Section: Simulation Setupmentioning

confidence: 99%

“…The objectives of MAC protocol for WSN are establishing the communication links between sensor nodes and sharing the communication medium fairly and efficiently [6]. Attributes of a good MAC protocol are high energy efficiency [7], low latency [8], high throughput [9] and fairness between nodes [10].…”

Section: Introductionmentioning

confidence: 99%

Hybrid TDMA/CDMA MAC Protocol for Wireless Sensor Networks

Ma¹,

Leung²,

Li³

2014

JNW

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“…The SNMDs are capable of high resolutive voltage and current measurement. The SNMD provides sampling frequencies of up to 400kHz with an average measurement error below 1% [20].…”

Section: Evaluation Tools and Modelsmentioning

confidence: 99%

Evaluating the energy-efficiency of key exchange protocols in wirelesssensor networks

Haas

Wilke

2012

Proceedings of the 7th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks

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The evaluation of the energy-efficiency of applications and protocols is one of the most important issues in Wireless Sensor Networks (WSN). However, this is a time consuming and challenging task. Therefore, a realistic energy-efficiency evaluation is often neglected or oversimplified by using simple theoretical models or unsuited simulation tools. In this work, we evaluate the energy-efficiency of two specific key exchange protocols, an Elliptic Curve Diffie-Hellman with authentication (ECDH-ECDSA) and a Kerberos based approach, while using different duty-cycling MAC layer protocols. In our evaluation, we compare the results from a theoretical model with simulation results using the AVRORA+ simulation tool and real-world measurements in our WSN testbed SANDbed. Using three MAC layer protocols, Tiny-OS built in Low-Power-Listening as well as S-MAC and standard 802.15.4, we show that there are several important cross-layer effects that should be considered when performing an energy-efficiency evaluation. Furthermore, we argue, that there are several evaluation metrics like the absolute energy consumption per key exchange or one key exchange per measured time interval.

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“…Each SNMD is equipped with a MICAz sensor node and its default sensor board. The SNMDs are capable of measuring the voltage and the current with a very high resolution as they provide sampling frequencies of up to 250kHz with an average measurement error below 1% [1].…”

Section: Experiments Setupmentioning

confidence: 99%

Energy evaluations in wireless sensor networks

Haas

Wilke

2011

Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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The development of energy-efficient applications and protocols is one of the most important issues in Wireless Sensor Networks (WSN). However, most publications up to now avoid time consuming realistic energy evaluations and oversimplify their evaluation with regard to energy-efficiency. This work aims at lowering the barrier for realistic energy evaluations. We focus on a generic application that simply transmits one packet using TinyOS Low Power Listening (LPL), which we evaluate using the WSN testbed SANDbed. Our results disprove some intuitive expectations. For example, we show that transmitting packets with a large payload can be cheaper in terms of energy consumption than a small payload. As packet transmission is part of almost any WSN application, the results shown are important to many WSN protocol evaluations. As an addition, we contribute our lessons learned by discussing the most important challenges and pitfalls we faced during our evaluation.

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Facing challenges in evaluation of WSN energy efficiency with distributed energy measurements

Cited by 9 publications

References 11 publications

Hybrid TDMA/CDMA MAC Protocol for Wireless Sensor Networks

Hybrid TDMA/CDMA MAC Protocol for Wireless Sensor Networks

Evaluating the energy-efficiency of key exchange protocols in wirelesssensor networks

Energy evaluations in wireless sensor networks

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