WSN goodput and energy consumption for various wireless communication standards

Kenawy, Ahmed; Badawi, Ghada; Makar, Michael; Onsy, Mark; Hanna, Ramy M; Halawa, Hassan H.; Refaat, Tarek K.; Daoud, Ramèz M.; Amer, Hassanein H.; ElSayed, Hany M.

doi:10.1109/taeece.2013.6557192

Cited by 2 publications

(7 citation statements)

References 11 publications

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“…Reference [8] applied the aforementioned methodology on a WSN, simulated using OPNET, in order to evaluate the tradeoff between throughput and energy consumption utilizing different off-the-shelf wireless communication protocols specifically Wi-Fi, Low-Power Wi-Fi and ZigBee. The focus of the study was on the assessment of the wireless communication protocols taking into account data drops and data retransmissions as a result of collisions in an interference-free environment.…”

Section: Sleep Time (Tsl)mentioning

confidence: 99%

“…Conversely, Total Energy Consumed accounts for the energy consumed in the 5 attempts, taking into consideration energy consumed during transmission, reception and sleep. The study in [8] concluded that no single studied wireless communication standard is superior to all others. Instead, the suitability of the wireless standard depends on the targeted application.…”

Section: Useful Data Sent Goodput Per Joulementioning

confidence: 99%

“…This paper extends the methodology introduced in [8] to account for the impact of interference on the throughput and energy consumption of a WSN. The resulting methodology takes into consideration node contention, collisions, retransmissions and interference modeled by a jamming node.…”

Section: Introductionmentioning

confidence: 99%

“…11 [9] and IEEE 802. 15.4 [10] along with reviewing the previous results obtained in [8]. In Section 3, the simulation setup is described along with the parameters and model of the presented case study.…”

Section: Introductionmentioning

confidence: 99%

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Performance of WSNs under the Effect of Collisions and Interference

Onsy¹,

Salah²,

Makar³

et al. 2014

WSN

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This paper proposes a methodology for calculating the energy consumed by a Wireless Sensor Network as well as its throughput under the effect of a jamming node modelling interference to account for collisions and retransmissions. Accordingly, the proposed methodology takes into consideration retransmissions and data dropped due to interference and collisions simultaneously. Simulations are conducted using OPNET to model various scenarios utilizing off-the-shelf wireless communication standards, namely ZigBee, Wi-Fi and Low Power Wi-Fi. A figure of merit is developed to offer more representative results for applications with different requirements. In achieving different requirements for a given application, there is a clear trade-off between energy consumption and throughput.

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Section: Sleep Time (Tsl)mentioning

confidence: 99%

Section: Useful Data Sent Goodput Per Joulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance of WSNs under the Effect of Collisions and Interference

Onsy¹,

Salah²,

Makar³

et al. 2014

WSN

Self Cite

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“…Therefore, Wi-Fi is a very attractive solution for the remote transmission and wireless monitoring needs of embedded devices in smart home and office systems. On the other hand, Wi-Fi consumes more power compared to other wireless technology alternatives like Zigbee or Blueetooth [3].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient IP-Connectivity with IEEE 802.11 for Home M2M Networks

Ozcelik

Korpeoglu

Agrawala

2017

The Computer Journal

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Machine-to-machine communications (M2M) technology enables large-scale communication and networking of devices of various kinds including home devices and appliances. A critical issue for home M2M networks is how to efficiently integrate the already existing home consumer devices and appliances into an IP based wireless M2M network with least modifications to existing components. Due to its popularity and widespread usage in closed spaces, Wi-Fi is a good alternative as a wireless technology to enable M2M networking for home devices.This thesis addresses the energy-efficient integration of home appliances to a Wi-Fi and IP based home M2M network. Towards this goal, we first propose an integration architecture that requires least modifications in existing components. Then, we propose a novel long-term sleep scheduling algorithm to be applied together with the existing 802.11 power save mode (PSM). The proposed scheme utilizes the multicast DNS (mDNS) protocol to maintain device and service availability when devices go into deep sleep mode.We implemented our proposed architecture and algorithm as a prototype to build an M2M network of home appliances as a test-bed. We performed various experiments on this test-bed to evaluate the proper operation and energy savings of our proposal. We also did extensive simulation experiments for larger-scale scenarios. As a result of our test-bed and simulation experiments, we observed energy savings up to 70% compared to the existing infrastructure which applies no sleep mechanism, and up to 20% compared to standard 802.11 PSM scheme, while ensuring device and service availability at the same time. Bu tez, Wi-Fi teknolojisinin enerji verimli birşekilde akıllı ev sistemlerinde kullanılacak gömülü cihazlara nasıl entegre edilecegini gösterir. Tezde, ev M2M aglarında enerji tasarrufu için IEEE 802.11 güç tasarruf modu (PSM) ve uyku zamanlama algoritması tabanlı yeni bir yaklaşımönerilmektedir. Bu yaklaşım, IEEE 802.11 MAC katmanında degişiklik yapılmadan gerçeklenir. Yaklaşımın gerçeklenmesinde cihazların erişilebilirligi etkilenmeksizin mDNS protokol mesajlarından da faydalanılır. KeywordsTezdekiönerilen yaklaşım, bir ev M2M agına prototip olarak uygulanmıştır. Bu prototiplerle ve hazırlanan simulasyonlarla,önerilen yaklaşımın performans degerlendirmesi yapılmıştır. Prototipüzerinde yapılan testlerin ve simulasyonların sonuçlarna göre, herhangi bir enerji tasarruf mekanizması kullanmayan standart altyapıya kıyasla yaklaşık %70, IEEE 802.11 güç tasarruf moduna kıyasla %20 enerji tasarrufu saglandıgı görülmüştür.

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WSN goodput and energy consumption for various wireless communication standards

Cited by 2 publications

References 11 publications

Performance of WSNs under the Effect of Collisions and Interference

Performance of WSNs under the Effect of Collisions and Interference

Energy Efficient IP-Connectivity with IEEE 802.11 for Home M2M Networks

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