A. H. Jahangir

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Most of clustered models in wireless sensor networks use a double-layered structure. In these structures a node is considered as cluster-head and has the responsibility of gathering information of environment. Static attribute is the main disadvantage of these clustering method because as traffic rises in environment as time passes, cluster-head nodes(More)
In this paper we claim that local optimization can produce proper start point for genetic search. We completely test this claim on partitioning problem and on the performance of genetic search in a real problem that is finding aggregation tree in the sensor networks. The presented method (named Tendency algorithm) increases the performance of heuristic(More)
Network survivability gauges the ability of a network to support the committed quality of service (QoS) continuously in the presence of various failure scenarios. We perceive that both performance and availability are integral components of survivability. Therefore, we propose a composite model for survivability that consists of performance and availability(More)
Wireless Sensor Network (WSN) should be capable of fulfilling its mission, in a timely manner. Therefore, we propose a quantitative real-time model for multihop WSN. "Real-time degree" describes the percentage of real-time data that the network can deliver on time from any source to its destination. Most of network properties are considered as random(More)
The critical issue in designing correlated data networks like Wireless Sensor Networks is to minimize the total cost of data transmission in the network, and decrease the amount of data flow. The problem of finding optimal aggregation tree for correlated data gathering in single sink network is considered as an NP-Complete problem and hence heuristic(More)
In this paper, we introduce novel mechanisms for measuring and evaluating the performance of a network and its devices, configured especially for voice over IP (VoIP). We study the effects of different configurations on final voice quality by enabling or changing the related equipment features. In our study we quantify quality changes based on different(More)
Network Survivability is defined as the ability of a network to support the committed Quality of Services (QoS) continuously in the presence of different failure scenarios. Both availability and performance degradation of a system in presence of failure are integral components of survivability evaluation. Therefore, a composite model is presented for(More)
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