Interference of bluetooth and IEEE 802.11

Golmie, Nada; Dyck, R.E. Van; Soltanian, A.

doi:10.1145/381591.381598

Cited by 95 publications

(19 citation statements)

References 2 publications

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“…Adverse environmental conditions add to the challenges that these networks face; challenges include the weather, temperature, humidity, and surrounding materials, such as materials known to cause interference (lead, steel, rebar, and concrete) [22]. Network interference also includes the increasing number of wireless enabled devices like cell phones, desktops, laptops, smart phones, etc, all with the capability of Bluetooth, GPS, Wi-Fi and access to cellular networks base stations [23][24][25]. Wireless networks are complicated with nearly every factor affecting their ability to perform at their optimal speeds, as listed above.…”

Section: Challenges In Wireless Mesh Networkmentioning

confidence: 99%

Wireless Mesh Network Performance for Urban Search and Rescue Missions

Ribeiro

Ferworn

Tran

2010

IJCNC

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In this paper we demonstrate that the Canine Pose Estimation (CPE) system can provide a reliable estimate for some poses and when coupled with effective wireless transmission over a mesh network. Pose estimates are time sensitive, thus it is important that pose data arrives at its destination quickly. Propagation delay and packet delivery ratio measuring algorithms were developed and used to appraise Wireless Mesh Network (WMN) performance as a means of carriage for this time-critical data. The experiments were conducted in the rooms of a building where the radio characteristics closely resembled those of a partially collapsed building-a typical US&R environment. This paper presents the results of the experiments, which demonstrate that it is possible to receive the canine pose estimation data in realtime although accuracy of the results depend on the network size and the deployment environment.Comment: 19 Pages, IJCNC Journa

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Section: Challenges In Wireless Mesh Networkmentioning

confidence: 99%

Wireless Mesh Network Performance for Urban Search and Rescue Missions

Ribeiro

Ferworn

Tran

2010

IJCNC

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“…In [14], the interference distribution is modeled by using structures of the Bluetooth packets and the WLAN frames. However it is hard to obtain the accurate distribution of the interference in a practical situation, and we use the simple model of the interference distribution as follows for simplicity.…”

Section: Performance Evaluationmentioning

confidence: 99%

Pulse interference mitigation techniques for QPSK and QAM using Viterbi decoding

Oka

Ata

2010

2010 International Symposium on Information Theory &Amp; Its Applications

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A severe spectrum shortage for wireless communication systems poses the spectrum overlapping and the interference problem with a significant performance degradation. To avoid this problem, it is essential to employ the techniques for interference mitigation. The goal of this paper is to investigate the performance of some interference mitigation techniques in the systems using Viterbi decoding, i.e., 1-norm metric, received power based limiting, puncturing and metric based limiting. These methods are compared from the view point of bit error rate (BER) obtained by computer simulations. Simulation results show the superiority of metric based limiting, which yields better BER performance.

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“…Many research studies have been done to evaluate the effect of jammers performance on the wireless Bluetooth network by using different type of simulators, where in [2] The author uses a different type of service denial attack called distributed jammer network (DJN) made of a great number of tiny radio, low-power jammers, the research shows that DJN can cause a phase transition in the performance of the wireless targeted network. The author in [3] calculates the performance of Bluetooth and IEEE 802.11b systems affected by the mutual interference, by developing a simulation framework based on detailed MAC and PHY models for modelling the interference. The research in [4] shows a Wireless Denial of Service (WDoS) attack can be done by using off the shelf device, by repeatedly transmitting an RF signal to jam any access to the network, by using any malicious node along with interfere with the receiver node, also different method was proposed to detect the existence of jammers nodes.…”

Section: Introductionmentioning

confidence: 99%