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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 nodes are deleted; the cost of data transmission...
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 to optimize the parameters of monitoring...
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 range of communication. It does connectivity...
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 transmit data to base stations in these networks...
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