Ali Shokouhi rostami

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Energy and lifetime are of paramount importance in wireless sensor network applications. Fit function's parameters selection is a noteworthy factor for a point coverage network. In this paper, we used gravity method to optimize the parameters of sensor monitoring selection for each round in a point coverage network. To ameliorate this selection, surplus(More)
Since we are not able to replace the battery in a wireless sensor networks (WSNs), the issues of energy and lifetime are the most important parameters. In asymmetrical networks, different sensors with various abilities are used. Super nodes, with higher power and wider range of communication in comparison with common sensors, are used to cause connectivity(More)
since we are not able to replace the battery in a wireless sensor network, the issues of energy and lifetime are the most important parameters. In asymmetrical networks, different sensors with various abilities are used. Super nodes, with higher power and wider range of communication in comparison with common sensors, are used to cause connectivity and(More)
Multiple Travelling Salesman Problem (mTSP) is one of the most popular and widely used combinatorial optimization problems in the operational research. Many complex problems can be modeled and solved by the mTSP. To solve the mTSP, deterministic algorithms cannot be used as the mTSP is an NP-hard optimization problem. Hence, heuristics approaches are(More)
Traveling Salesman Problem (TSP) is a famous and classic operation for combination of optimization problems which is very used. Many complex issues can be modeled as traveling salesman problems. Since TSP is a NP-complete problem, certain algorithms cannot be used for solving it. Hence heuristic methods are common to resolve these issues. This paper(More)
Today's demand of secure data exchange and manipulation rely mostly on the use of cryptography. The most important and difficult part of any cryptographic system is to generate secret keys of high randomness quality. Therefore the generation process of random bits is becoming increasingly important. Since the use of a truly random generator is very(More)
Energy and lifetime are the most important design objectives in many wireless sensor network applications. In asymmetrical sensor networks, different sensors with various abilities are used. It is crucial to select the parameters of fit function and monitoring sensors optimally in a point coverage network. In this paper, our approach uses genetic algorithm(More)
since we are not able to replace the battery in a wireless sensor network, energy and lifetime are the most important parameters. Common sensors are not able to connect directly with the central station due to their limited ranges in asymmetrical wireless networks, therefore, we utilize super nodes. A super node has more energy, processing power and a wider(More)
In wireless sensor network, due to impossibility of replacing battery, the problem of energy and network lifetime is one of the important parameters. In asymmetric sensor networks, due to limited range of normal sensors it is not possible to communicate directly with central station by these sensors. In noted network, manager nodes are used which have more(More)
In this paper we numerically investigate the chaotic behaviours of the fractional-order Lorenz system and its synchronization. For the first time, a fractional chaotic synchronization using an Unscented Kalman Filter (UKF) is presented. The chaotic synchronization is implemented by the UKF design in the presence of process noise and measurement noise. To(More)