Analysis of Radio Model Performance for Clustering Sensor Networks

QR Code

Analysis of Radio Model Performance for Clustering Sensor Networks

Contemporary advancements in the field of wireless technology and sensor instrumentation have led to the proliferation of novel protocols which are specially designed for low-power networks such as wireless sensor networks. In the field of wireless sensor networks, researchers are currently interest...

Full description

Bibliographic Details
Main Authors:	Bello-Salau, H, Salami, A. F., Anwar, Farhat, Islam, Md. Rafiqul
Format:	Article
Language:	English
Published:	International Frequency Sensor Association (IFSA). 2011
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/2659/ http://irep.iium.edu.my/2659/1/AnalysisOfRadioModel.pdf

Similar Items

A novel biased energy distribution (BED) scheme for clustering sensor networks
by: Salami, Abdulazeez F., et al.
Published: (2011)

A novel biased energy distribution (BED) technique for cluster-based routing in wireless sensor networks
by: Salami, Abdulazeez F., et al.
Published: (2011)

Investigative analysis of clustering routing protocols for scalable sensor networks
by: Salami, A. F., et al.
Published: (2011)

Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
by: Tahir, Mohammad, et al.
Published: (2017)

Coalition formation for throughput enhancement in cognitive radio wireless networks
by: Tahir, Mohammad, et al.
Published: (2015)

An enhancement of fault-tolerant routing protocol for Wireless Sensor Network
by: Zamree, Che-Aron, et al.
Published: (2010)

Survey on energy harvesting cognitive radio network
by: Alfaqawi, Mohammed, et al.
Published: (2015)

Radio Access Technology (RAT) selection mechanism using TOPSIS method in Heterogeneous Wireless Networks (HWN)
by: Anwar, Farhat, et al.
Published: (2018)

The enhanced fault-tolerant AODV routing protocol for Wireless Sensor Network
by: Che-Aron, Zamree, et al.
Published: (2010)

An Enhancement of AODV routing protocol for more robust wireless sensor network
by: Che-Aron, Zamree, et al.
Published: (2010)

The enhanced fault-tolerance mechanism of AODV routing protocol for Wireless Sensor Network
by: Che-Aron, Zamree, et al.
Published: (2010)

Coalition formation for cooperative spectrum sharing in cognitive radio wireless networks using Gale Shapley Algorithm
by: Tahir, Mohammad, et al.
Published: (2016)

Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
by: Tahir, Mohammad, et al.
Published: (2017)

RSS based localization techniques for zigbee wireless sensor network
by: Habaebi, Mohamed Hadi, et al.
Published: (2014)

ENFAT-AODV: the fault-tolerant routing protocol for high failure rate Wireless Sensor Networks
by: Che-Aron, Zamree, et al.
Published: (2010)

Performance analysis of IIUM wireless campus network
by: Abd Latif, Suhaimi, et al.
Published: (2013)

An indoor path loss model for wireless sensor networks
by: Abdel-Rahim, Mohammed, et al.
Published: (2018)

Traffic aware wireless sensor networks MAC protocol for smart grid applications using spiral backoff mechanism
by: Ahmed, Musse Mohamud, et al.
Published: (2014)

Cognitive radio vs intelligent antenna
by: Mat Nawi, Siti Rabani, et al.
Published: (2011)

Performance evaluation of uncoordinated beamforming over cognitive radio network
by: Wan Mohd Zuferi , Wan Nadzlia Shazwanie, et al.
Published: (2012)

Cluster-based spectrum sensing scheme in heterogeneous network
by: Hasan, Mohammad Kamrul, et al.
Published: (2014)

Cluster-based spectrum sensing scheme in heterogeneous network
by: Hasan, Mohammad Kamrul, et al.
Published: (2015)

Effects of shadowing on LoRa LPWAN Radio links
by: Habaebi, Mohamed Hadi, et al.
Published: (2017)

Radio resource scheduling in LTE-advanced system with carrier aggregation
by: Al-Shibly, Mohammed Abuljawad M, et al.
Published: (2015)

The performance evaluation of AODV-based and DSR-based multi-radio routing protocols in cognitive radio Ad Hoc network
by: Che-Aron, Zamree, et al.
Published: (2013)

A real valued neural network based autoregressive energy detector for cognitive radio application
by: Onumanyi, A. J., et al.
Published: (2014)

Performance study of Hybrid Wireless Mesh Protocol(HWMP) for IEEE 802.11s WLAN Mesh Networks
by: Bari, S.M. Sadakatul, et al.
Published: (2012)

Performance analysis of multi-radio routing protocol in cognitive radio ad hoc networks under different path failure rate
by: Che-Aron, Zamree, et al.
Published: (2013)

A performance comparison of proactive and reactive routing protocols of Mobile Ad-hoc Network (MANET)
by: Azad, Saiful, et al.
Published: (2007)

Intergating multiple metrics to improve the performance of a routing protocol over wireless mesh networks
by: Rahman, Md. Arafatur, et al.
Published: (2009)

Rain attenuation predictions on terrestrial radio links: differential equations approach
by: Abdulrahman, A Y, et al.
Published: (2012)

A primary interface selection policy in heterogeneous networks based on QoS
by: Masud, M. H., et al.
Published: (2012)

A comprehensive study of routing protocols for cognitive radio networks
by: Che-Aron, Zamree, et al.
Published: (2013)

Sensor node clutter distribution in LoRa LPWAN
by: Zainal, Nur Aishah, et al.
Published: (2017)

Simulation and analysis of an admission control mechanism for MPLS DS-TE
by: Mahmoud, Omer, et al.
Published: (2008)

Effect of sensor specific body location on wireless network routing performance
by: Habaebi, Mohamed Hadi, et al.
Published: (2008)

Radio propagation measurement and channel modelling for wireless body area network
by: Wan Nordin, Mimi Aminah, et al.
Published: (2011)

A simulation based performance analysis of reactive routing protocols in Wireless Mesh Networks
by: Rahman, Md. Arafatur, et al.
Published: (2009)

Analysis of packet reordering delay for bandwidth aggregation in heterogeneous wireless networks
by: Anwar, Farhat, et al.
Published: (2018)

Game theory for resource allocation in heterogeneous wireless networks - a review
by: Anwar, Farhat, et al.
Published: (2018)