Papers by Manaf Sharifzadeh
In many applications, ranking of decision making units (DMUs) is a problematic technical task pro... more In many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. Hence, there is a growing interest in ranking techniques yet. The purpose of this paper is ranking extreme efficient DMUs in DEA based on exploiting the leave-one out and minimizing the maximum distance between DMU under evaluation and boundary efficient in input and output directions. The proposed method has been able to overcome the lacks of infeasibility and unboundedness in some DEA ranking methods.
Research Journal of Applied Sciences, Engineering and Technology
Considering the features of non-uniformly distributed traffic load and possibly existing of the t... more Considering the features of non-uniformly distributed traffic load and possibly existing of the traffics requiring different performance in wireless sensor networks, this study proposes , a novel routing protocol based on an improved Ant colony optimization routing algorithm. The algorithm concentrates on the provision of Quality of Service in multi-criteria routing algorithm such as hop count, energy consumption, resident power, bandwidth and end to end delay. These metrics are used by means of colored pheromones of the ant colony system. There are different ants with colored pheromones, which each color is for a level of service. Simulation experiments show that the proposed algorithm has many advantages comparing with existing algorithm: proposing different service classes such as Real time and Best effort traffic; achieve slower delay and longer lifetime; besides, the proposed method behaves more scalable and robust.
Considering the features of non-uniformly distributed traffic load and possibly existing of the t... more Considering the features of non-uniformly distributed traffic load and possibly existing of the traffics requiring different performance in wireless sensor networks, this study proposes , a novel routing protocol based on an improved Ant colony optimization routing algorithm. The algorithm concentrates on the provision of Quality of Service in multi-criteria routing algorithm such as hop count, energy consumption, resident power, bandwidth and end to end delay. These metrics are used by means of colored pheromones of the ant colony system. There are different ants with colored pheromones, which each color is for a level of service. Simulation experiments show that the proposed algorithm has many advantages comparing with existing algorithm: proposing different service classes such as Real time and Best effort traffic; achieve slower delay and longer lifetime; besides, the proposed method behaves more scalable and robust.
The creation of small and cheap sensors promoted the emergence of large scale sensor networks. Se... more The creation of small and cheap sensors promoted the emergence of large scale sensor networks. Sensor networks allow monitoring a variety of physical phenomena, like weather conditions (temperature, humidity, atmospheric pressure ...), traffic levels on highways or rooms occupancy in public buildings. Some of the sensors produce large volume of data such as weather temperature. These data should be stored somewhere for user queries. In this paper two known sensor data storage methods that store data semantically has been compared and it has been shown that storing data in ontology form consumes more energy so the lifetime of sensor network would decreases. The reason we choose them is that they are useful and popular.
The creation of small and cheap sensors promoted the emergence of large scale sensor networks. Se... more The creation of small and cheap sensors promoted the emergence of large scale sensor networks. Sensor networks allow monitoring a variety of physical phenomena, like weather conditions (temperature, humidity, atmospheric pressure ...), traffic levels on highways or rooms occupancy in public buildings. Some of the sensors produce large volume of data such as weather temperature. These data should be stored somewhere for user queries. In this paper two known sensor data storage methods that store data semantically has been compared and it has been shown that storing data in ontology form consumes more energy so the lifetime of sensor network would decreases. The reason we choose them is that they are useful and popular.
Uploads
Papers by Manaf Sharifzadeh