Firas Zawaideh - Academia.edu (original) (raw)
Papers by Firas Zawaideh
Computer methods and advances in geomechanics, 1991
2013 International Conference on Electronics, Computer and Computation (ICECCO), 2013
ABSTRACT This paper implements an algorithm that used applications that can monitor a movable lim... more ABSTRACT This paper implements an algorithm that used applications that can monitor a movable limited target such as moving object. The object tracking is based on mathematical prediction of object location in order to activate the proper required sensors that is used to measure its actual location. Fuzzy clustering is being used in order to achieve fast and reliable cluster head determination. This paper implements a new activation algorithm based on smart prediction with least number of sensors that ensure a reliable target tracking with a minimal number of active nodes. The prediction of the next location is being done in polar coordinates, so a half circle of sensors will be activated only. The moving object will be considered to be the center of the half circle of active nodes. This algorithm induce to run the minimal active nodes while the rest of network in sleep.
Filtering is aimed to preprocess image in order to make it more adaptive for a specific applicati... more Filtering is aimed to preprocess image in order to make it more adaptive for a specific application. Several types of filters are available, involving low-pass filters, which prevent higher frequencies from passage and high-pass filters, which cut low frequencies. The purpose of this paper is to compare between Butterworth High Pass Filter (BHPF) and Gaussian High Pass Filter (GHPF) within the frequency domain to enhance these two filters and to obtain sharper images. The proposed enhanced models were applied on standard pictures and simulated using MATLAB. Experimental results comparing the old and new filters design showed that GHPF outperformed BHPF. Moreover, the new designed filters outperformed the original ones.
Network and Complex Systems, 2014
Many researches in wireless sensors network clustering aim to optimize the power and to balance t... more Many researches in wireless sensors network clustering aim to optimize the power and to balance the cluster with respect to cluster head and cluster nodes. The optimization of cluster and node in balanced way, will balance the processing overhead - and thus power consumption - over the clusters and nodes, so, the network nodes death will be balanced. In order to balance the clustering of the network in terms of equi-sizes clusters or equi-potential clusters, in some networks, far nodes will be very far from any clusters, and those nodes couldn't be included in any balanced clusters. This paper finds a solution for the far nodes. The solution that is contributed in this paper is based on balanced clustering of the network ignoring all far nodes temporary or initially, then, building virtual clustering technique. The fart nodes will be clustered independently in virtual clusters. Those clusters don't have heads of clusters that communicates directly with the base station, but ...
iii OZ iv DEDICATION v ACKNOWLEDGMENT vi LIST OF TABLES ix LIST OF FIGURES x LIST OF SYMBOLS/ABBR... more iii OZ iv DEDICATION v ACKNOWLEDGMENT vi LIST OF TABLES ix LIST OF FIGURES x LIST OF SYMBOLS/ABBREVIATIONS (if available) xi
International Journal of Communication Systems
Network and Complex Systems, 2014
Many researches in wireless sensors network clustering aim to optimize the power and to balance t... more Many researches in wireless sensors network clustering aim to optimize the power and to balance the cluster with respect to cluster head and cluster nodes. The optimization of cluster and node in balanced way, will balance the processing overhead-and thus power consumption-over the clusters and nodes, so, the network nodes death will be balanced. In order to balance the clustering of the network in terms of equi-sizes clusters or equi-potential clusters, in some networks, far nodes will be very far from any clusters, and those nodes couldn't be included in any balanced clusters. This paper finds a solution for the far nodes. The solution that is contributed in this paper is based on balanced clustering of the network ignoring all far nodes temporary or initially, then, building virtual clustering technique. The fart nodes will be clustered independently in virtual clusters. Those clusters don't have heads of clusters that communicates directly with the base station, but instead it implies virtual cluster head that communicates directly with non-cluster head node in the nearest real cluster. The contributed algorithm of this paper where implemented and simulation results were recorded indicating that, it's efficient power consumption algorithm, and the balance of clusters will not be so affected. The comparison with LEACH, LEACH-M, and LEACH-L is demonstrated, in addition to the EECA algorithm.
2017 2nd International Conference on the Applications of Information Technology in Developing Renewable Energy Processes & Systems (IT-DREPS)
Computer methods and advances in geomechanics, 1991
2013 International Conference on Electronics, Computer and Computation (ICECCO), 2013
ABSTRACT This paper implements an algorithm that used applications that can monitor a movable lim... more ABSTRACT This paper implements an algorithm that used applications that can monitor a movable limited target such as moving object. The object tracking is based on mathematical prediction of object location in order to activate the proper required sensors that is used to measure its actual location. Fuzzy clustering is being used in order to achieve fast and reliable cluster head determination. This paper implements a new activation algorithm based on smart prediction with least number of sensors that ensure a reliable target tracking with a minimal number of active nodes. The prediction of the next location is being done in polar coordinates, so a half circle of sensors will be activated only. The moving object will be considered to be the center of the half circle of active nodes. This algorithm induce to run the minimal active nodes while the rest of network in sleep.
Filtering is aimed to preprocess image in order to make it more adaptive for a specific applicati... more Filtering is aimed to preprocess image in order to make it more adaptive for a specific application. Several types of filters are available, involving low-pass filters, which prevent higher frequencies from passage and high-pass filters, which cut low frequencies. The purpose of this paper is to compare between Butterworth High Pass Filter (BHPF) and Gaussian High Pass Filter (GHPF) within the frequency domain to enhance these two filters and to obtain sharper images. The proposed enhanced models were applied on standard pictures and simulated using MATLAB. Experimental results comparing the old and new filters design showed that GHPF outperformed BHPF. Moreover, the new designed filters outperformed the original ones.
Network and Complex Systems, 2014
Many researches in wireless sensors network clustering aim to optimize the power and to balance t... more Many researches in wireless sensors network clustering aim to optimize the power and to balance the cluster with respect to cluster head and cluster nodes. The optimization of cluster and node in balanced way, will balance the processing overhead - and thus power consumption - over the clusters and nodes, so, the network nodes death will be balanced. In order to balance the clustering of the network in terms of equi-sizes clusters or equi-potential clusters, in some networks, far nodes will be very far from any clusters, and those nodes couldn't be included in any balanced clusters. This paper finds a solution for the far nodes. The solution that is contributed in this paper is based on balanced clustering of the network ignoring all far nodes temporary or initially, then, building virtual clustering technique. The fart nodes will be clustered independently in virtual clusters. Those clusters don't have heads of clusters that communicates directly with the base station, but ...
iii OZ iv DEDICATION v ACKNOWLEDGMENT vi LIST OF TABLES ix LIST OF FIGURES x LIST OF SYMBOLS/ABBR... more iii OZ iv DEDICATION v ACKNOWLEDGMENT vi LIST OF TABLES ix LIST OF FIGURES x LIST OF SYMBOLS/ABBREVIATIONS (if available) xi
International Journal of Communication Systems
Network and Complex Systems, 2014
Many researches in wireless sensors network clustering aim to optimize the power and to balance t... more Many researches in wireless sensors network clustering aim to optimize the power and to balance the cluster with respect to cluster head and cluster nodes. The optimization of cluster and node in balanced way, will balance the processing overhead-and thus power consumption-over the clusters and nodes, so, the network nodes death will be balanced. In order to balance the clustering of the network in terms of equi-sizes clusters or equi-potential clusters, in some networks, far nodes will be very far from any clusters, and those nodes couldn't be included in any balanced clusters. This paper finds a solution for the far nodes. The solution that is contributed in this paper is based on balanced clustering of the network ignoring all far nodes temporary or initially, then, building virtual clustering technique. The fart nodes will be clustered independently in virtual clusters. Those clusters don't have heads of clusters that communicates directly with the base station, but instead it implies virtual cluster head that communicates directly with non-cluster head node in the nearest real cluster. The contributed algorithm of this paper where implemented and simulation results were recorded indicating that, it's efficient power consumption algorithm, and the balance of clusters will not be so affected. The comparison with LEACH, LEACH-M, and LEACH-L is demonstrated, in addition to the EECA algorithm.
2017 2nd International Conference on the Applications of Information Technology in Developing Renewable Energy Processes & Systems (IT-DREPS)