Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN... more Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN, sensor nodes are deployed to operate autonomously in remote environments. Depending on the network orientation, WSN can be of two types: flat network and hierarchical or cluster-based network. Various advantages of cluster-based WSN are energy efficiency, better network communication, efficient topology management, minimized delay, and so forth. Consequently, clustering has become a key research area in WSN. Different approaches for WSN, using cluster concepts, have been proposed. The objective of this paper is to review and analyze the latest prominent cluster-based WSN algorithms using various measurement parameters. In this paper, unique performance metrics are designed which efficiently evaluate prominent clustering schemes. Moreover, we also develop taxonomy for the classification of the clustering schemes. Based on performance metrics, quantitative and qualitative analyses are performed to compare the advantages and disadvantages of the algorithms. Finally, we also put forward open research issues in the development of low cost, scalable, robust clustering schemes.
With the swift expansion of wireless technologies, demand for radio spectrum is continuously moun... more With the swift expansion of wireless technologies, demand for radio spectrum is continuously mounting. Along with the spectrum scarcity problem, radio spectrums are also underutilized. Cognitive radio practices an open spectrum allocation technique, which can ensure efficient handling of the frequency bands. Suitable network model is a must for the implementation of cognitive radio networks. In this paper, an efficient cluster model for cognitive radio ad-hoc networks is presented using graph theory. The proposed clustering model is defined as a maximum edge biclique problem, where the spatial variations of spectrum availability are considered. This clustering scheme aims to maintain set of free common channels in every cluster, which allows smooth shifting among control channels. A parameter called Cluster Head Determination Factor (CHDF) is also introduced to select cluster-heads where clusters’ operations are coordinated by cluster-heads. Each cluster comprises of a secondary cluster- head to combat the re-clustering issue for mobile nodes. Finally, simulation and comparative studies are conducted to evaluate the performance of the proposed method.
With the rapid development of wireless technologies, the demand for radio spectrum is ever increa... more With the rapid development of wireless technologies, the demand for radio spectrum is ever increasing. Along with the spectrum scarcity problem, radio spectrums are also under utilized. Cognitive radio practices an open spectrum allocation technique, which can ensure efficient handling of the frequency bands. Suitable network architecture is a must for the implementation of cognitive radio networks. This paper presents stable cluster-based architecture for cognitive radio ad-hoc network. The proposed architecture splits the network into groups of clusters where the spatial variations of spectrum availability are considered for clustering. Set of free common channels resides every cluster for smooth shifting among control channels. We introduce a parameter called Cluster Head Determination Factor (CHDF) to select cluster-heads where clusters' operations are coordinated by cluster-heads. Each cluster comprises of a secondary cluster-head to combat the re-clustering issue for mobile nodes. Conclusively, to evaluate the performance of our proposed scheme, simulation is conducted and comparative studies are performed.
Wireless sensor networks (WSN) became popular in recent years, with big variety of applications f... more Wireless sensor networks (WSN) became popular in recent years, with big variety of applications from environmental monitoring to disaster recovery. Energy efficiency is a key characteristic of todays wireless sensors. In energy constraint sensor network, mobility handling can cause some additional challenges in sensor protocol design. Recently there are many MAC protocols have been proposed and adopted specially for sensor networks. Most of the proposed MAC protocols in wireless sensor network assumed nodes to be static. However some application like medical care and disaster response make use of mobile sensors essential. In this paper, we take closer look at S-MAC, T-MAC (which are well-known energy efficient MAC protocols) and IEEE 802.15.4 (which is the ZigBee standard) MAC protocols and studies their performance in terms of energy efficiency in different situation of mobility.
Page 1. Enhanced Mobile Lightweight Medium Access Control Protocol for Wireless Sensor Networks E... more Page 1. Enhanced Mobile Lightweight Medium Access Control Protocol for Wireless Sensor Networks Ehsan Tabatabaei Yazdi1, Amina Ahmed Mohamed1*, Mahdi Zareei1, Tat-Chee Wan1,2 1 School of Computer Sciences ...
ZigBee, Wibree, Z-Wave, and RuBee are four protocol standards for short range wireless communicat... more ZigBee, Wibree, Z-Wave, and RuBee are four protocol standards for short range wireless communications with low power consumption. From an application point of view, ZigBee is designed for reliable wirelessly networked monitoring and control networks, RuBee is proposed for high security applications and use in harsh environment, Wibree considered for sports and healthcare while Z-Wave is planned for residential control systems. In this paper, after an overview of the mentioned four short-range wireless protocols, we attempt to make a preliminary comparison of them and then specifically study their radio frequency, data coding, security etc. At last we have compared different protocols capabilities in high density network.
Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN... more Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN, sensor nodes are deployed to operate autonomously in remote environments. Depending on the network orientation, WSN can be of two types: flat network and hierarchical or cluster-based network. Various advantages of cluster-based WSN are energy efficiency, better network communication, efficient topology management, minimized delay, and so forth. Consequently, clustering has become a key research area in WSN. Different approaches for WSN, using cluster concepts, have been proposed. The objective of this paper is to review and analyze the latest prominent cluster-based WSN algorithms using various measurement parameters. In this paper, unique performance metrics are designed which efficiently evaluate prominent clustering schemes. Moreover, we also develop taxonomy for the classification of the clustering schemes. Based on performance metrics, quantitative and qualitative analyses are performed to compare the advantages and disadvantages of the algorithms. Finally, we also put forward open research issues in the development of low cost, scalable, robust clustering schemes.
With the swift expansion of wireless technologies, demand for radio spectrum is continuously moun... more With the swift expansion of wireless technologies, demand for radio spectrum is continuously mounting. Along with the spectrum scarcity problem, radio spectrums are also underutilized. Cognitive radio practices an open spectrum allocation technique, which can ensure efficient handling of the frequency bands. Suitable network model is a must for the implementation of cognitive radio networks. In this paper, an efficient cluster model for cognitive radio ad-hoc networks is presented using graph theory. The proposed clustering model is defined as a maximum edge biclique problem, where the spatial variations of spectrum availability are considered. This clustering scheme aims to maintain set of free common channels in every cluster, which allows smooth shifting among control channels. A parameter called Cluster Head Determination Factor (CHDF) is also introduced to select cluster-heads where clusters’ operations are coordinated by cluster-heads. Each cluster comprises of a secondary cluster- head to combat the re-clustering issue for mobile nodes. Finally, simulation and comparative studies are conducted to evaluate the performance of the proposed method.
With the rapid development of wireless technologies, the demand for radio spectrum is ever increa... more With the rapid development of wireless technologies, the demand for radio spectrum is ever increasing. Along with the spectrum scarcity problem, radio spectrums are also under utilized. Cognitive radio practices an open spectrum allocation technique, which can ensure efficient handling of the frequency bands. Suitable network architecture is a must for the implementation of cognitive radio networks. This paper presents stable cluster-based architecture for cognitive radio ad-hoc network. The proposed architecture splits the network into groups of clusters where the spatial variations of spectrum availability are considered for clustering. Set of free common channels resides every cluster for smooth shifting among control channels. We introduce a parameter called Cluster Head Determination Factor (CHDF) to select cluster-heads where clusters' operations are coordinated by cluster-heads. Each cluster comprises of a secondary cluster-head to combat the re-clustering issue for mobile nodes. Conclusively, to evaluate the performance of our proposed scheme, simulation is conducted and comparative studies are performed.
Wireless sensor networks (WSN) became popular in recent years, with big variety of applications f... more Wireless sensor networks (WSN) became popular in recent years, with big variety of applications from environmental monitoring to disaster recovery. Energy efficiency is a key characteristic of todays wireless sensors. In energy constraint sensor network, mobility handling can cause some additional challenges in sensor protocol design. Recently there are many MAC protocols have been proposed and adopted specially for sensor networks. Most of the proposed MAC protocols in wireless sensor network assumed nodes to be static. However some application like medical care and disaster response make use of mobile sensors essential. In this paper, we take closer look at S-MAC, T-MAC (which are well-known energy efficient MAC protocols) and IEEE 802.15.4 (which is the ZigBee standard) MAC protocols and studies their performance in terms of energy efficiency in different situation of mobility.
Page 1. Enhanced Mobile Lightweight Medium Access Control Protocol for Wireless Sensor Networks E... more Page 1. Enhanced Mobile Lightweight Medium Access Control Protocol for Wireless Sensor Networks Ehsan Tabatabaei Yazdi1, Amina Ahmed Mohamed1*, Mahdi Zareei1, Tat-Chee Wan1,2 1 School of Computer Sciences ...
ZigBee, Wibree, Z-Wave, and RuBee are four protocol standards for short range wireless communicat... more ZigBee, Wibree, Z-Wave, and RuBee are four protocol standards for short range wireless communications with low power consumption. From an application point of view, ZigBee is designed for reliable wirelessly networked monitoring and control networks, RuBee is proposed for high security applications and use in harsh environment, Wibree considered for sports and healthcare while Z-Wave is planned for residential control systems. In this paper, after an overview of the mentioned four short-range wireless protocols, we attempt to make a preliminary comparison of them and then specifically study their radio frequency, data coding, security etc. At last we have compared different protocols capabilities in high density network.
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