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Optimal Placement of a certain number of sinks at appropriate locations in WSNs reduces the number of hops between a sensor and its sink. This reduction ensures less exchanged messages between nodes and consequently less energy consumption. Since finding the optimal number of the sinks and their locationsis an NP Hard problem, a meta-heuristic evolutionary approach has been adopted as a Sink Placement...
Wireless sensor networks (WSNs) are generally used to monitor, in an area, certain phenomena which can be events or targets that users are interested. To extend the system lifetime, a widely used technique is ‘Energy-Efficient Coverage-Preserving Scheduling(EECPS)’, in which at any time, only part of the nodes are activated to fulfill the function. To determine which nodes should be activated at a...
This paper presents a simulation of positioning various types of transmitters in an optimal way, regarding the positions of receivers and their demands. The simulation runs in regards to the input parameters, which represent a landscape map, positions and demanded bandwidths of receivers, positions and dimensions of forbidden zones and barriers, as well as the areas that must be covered with a signal...
With the proliferation of location dependent applications in sensor networks, localization awareness becomes an essential capability of sensor nodes. Many localization algorithms have been proposed in recent years, in which DV-Hop is the most popular one. Intrinsically, localization is an optimization problem based on various distance/path measures. GA and SA are both widely used approaches toward...
Sensor networks have recently emerged as a premier research topic. Sensor networks pose a number of new conceptual and optimization problems. Some, such as location, deployment, and tracking, are fundamental issues, in that many applications rely on them for needed information. While designing the sensor networks according to performed computation, the limited number of sensors to cover an area will...
We propose a novel distributed cross-layer optimization approach for cognitive radio wireless networks. A cognitive radio is a wireless device that is capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance the performance of both the system and potentially the whole network. Given the lack of a centralized intelligence to...
The constellation design for differential space-time modulation usually requires to construct L (constellation size) unitary matrices making the design complexity increasing rapidly with L. In this correspondence, we propose a new construction technique, which exploits the rotational invariance of unitary matrices and the property of MPSK modulation. The proposed constellations are derivable from...
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