Achieving Energy Efficiency and QoS for Low-Rate Applications with 802.11e

Schmitt, Rüdiger; Soomro, Amjad

doi:10.1109/wcnc.2007.401

Cited by 15 publications

(12 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) to improve the utilization rate effectively, (2) to improve the communication reliability effectively.…”

Section: Cwsn Constructionmentioning

confidence: 99%

“…Therefore, with the increase of applications based on the WSNs, the frequency band has become increasingly congested. The sharing of unauthorized frequency bands has become the theme of extended research [1, 2]. Study has shown that the IEEE 802.11 [3] network will greatly impact the performance of the ZigBee network and 802.15.4 network if they work in the same frequency band [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Trust Value-Based Spectrum Allocation Algorithm in CWSNs

Pei

2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

With the increase of congestible frequency spectrums and the rapid development of wireless sensor networks (WSNs) applications, the new technology-combing cogitative radio technology with WSNs-called CWSNs will bring broad prospects to the field of radio and sensor networks. CWSN devotes itself to the solution of spectrum sharing in forms of networks, such as IEEE 802.11 and Bluetooth. A new algorithm is proposed for allocating the idle spectrum to secondary users (SUs). This algorithm uses "the last diminisher" algorithm, which appears in fair division models. It can help solve complicated problems in a simple fashion. This article combines the trust value and the method of spectrum allocation. The concept of trust value in reputation management is introduced. All the factors are applied to solve the realistic problems of spectrum allocation. With the growing number of sensor nodes, the stable throughput is of vital importance.

show abstract

“…(1) to improve the utilization rate effectively, (2) to improve the communication reliability effectively.…”

Section: Cwsn Constructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Trust Value-Based Spectrum Allocation Algorithm in CWSNs

Pei

2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…There are several taxonomies of attacks on wireless networks [10] and focus on WSNs [6]. Moreover, some classifications of attacks in CR exist [3,9,11]. However, there is not a deep classification of attacks in CWSNs and study of attacks against cognitive WSNs does not exist.…”

Section: Taxonomy Of Attacks In Cwsnsmentioning

confidence: 99%

“…For this reason, the unlicensed spectrum bands are becoming overcrowded with the increasing use of WSN-based systems. As a result, coexistence issues in unlicensed bands have been subject of extensive research [2,3], and in particular, it has been shown that IEEE 802.11 networks [4] can significantly degrade the performance of Zigbee/802.15.4 networks when operating in overlapping frequency bands [3].…”

Section: Introductionmentioning

confidence: 99%

Security in cognitive wireless sensor networks. Challenges and open problems

Araújo

Blesa

Romero

et al. 2012

J Wireless Com Network

View full text Add to dashboard Cite

A cognitive wireless sensor network (CWSN) is an emerging technology with great potential to avoid traditional wireless problems such as reliability. One of the major challenges CWSNs face today is security. A CWSN is a special network which has many constraints compared to a traditional wireless network and many different features compared to a traditional wireless sensor network. While security challenges have been widely tackled in traditional networks, this is a novel area in CWSNs. This article discusses a wide variety of attacks on CWSNs, their taxonomy and different security measures available to handle the attacks. Also, future challenges to be faced are proposed.

show abstract

“…Due to the fact that different medical applications have different QoS requirements and service level agreements (SLA) requirements, the dynamic nature of capacity/throughput of a wireless channel and variety of non-medical applications with varying data traffic characteristics, it is a non-trivial task to estimate whether a given network would be able to support, in terms of QoS, a set of medical applications, with a given wireless technology and channel conditions and in presence of some set of non-medical IT applications. The theoretical analysis provides some insight (Mangold et al, 2003), however, the assumed network traffic conditions to arrive at the analytical results do not correspond well with the expected use case scenarios (Cavalcanti et al, 2007). Whereas, an experimental setup can also provide insights, it is costly, labor intensive and it usually takes much longer time than simulations.…”

Section: Introductionmentioning

confidence: 99%

MEDICAL DEVICE PERFORMANCE IN IEEE 802.11 NETWORKS - Evaluating IEEE P11073.1.1 Use Case Scenarios in Wireless LANs

Soomro¹,

Schmitt

2009

Proceedings of the International Conference on Health Informatics

View full text Add to dashboard Cite

We study in this paper use of IEEE 802.11 wireless technologies for medical devices. The simulated use cases are derived from the ones specified in IEEE P11703.1.1 document. We consider the use cases where a WLAN using IEEE 802.11 is providing connectivity to medical, voice (VoIP) and IT applications simultaneously. This use case is interesting to hospitals because it provides potential cost savings. We model IEEE 802.11e QoS features and we use a wireless channel model with high and stable SNR to observe MAC protocol behavior. Our results indicate that QoS of medical and VoIP devices is met when they operate in dedicated channels, that is, without any IT and in good channel conditions. The inclusion of background IT load, affects QoS of both medical devices and VoIP. We quantify the performance improvement for medical devices when using IEEE 802.11 voice category and compare it with using best-effort category. The power consumption of wireless devices is not considered in this work.

show abstract

Achieving Energy Efficiency and QoS for Low-Rate Applications with 802.11e

Cited by 15 publications

References 7 publications

A Trust Value-Based Spectrum Allocation Algorithm in CWSNs

A Trust Value-Based Spectrum Allocation Algorithm in CWSNs

Security in cognitive wireless sensor networks. Challenges and open problems

MEDICAL DEVICE PERFORMANCE IN IEEE 802.11 NETWORKS - Evaluating IEEE P11073.1.1 Use Case Scenarios in Wireless LANs

Contact Info

Product

Resources

About