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In wireless sensor networks, A critical aspect of applications with wireless sensor network is to obtain long system lifetime, as well as maintain sufficient sensing coverage and reliability. In this paper, firstly, we will model the Area Coverage Problem (ACP), which will be changed into a set coverage problem. Secondly, a central-scheduling will be mentioned based on our modeling. Our central-scheduling...
In this paper novel distributed universal compaction algorithm for support of multipoint to point or point to point transmission in opposite direction is presented. Most of the energy needed for executing the algorithm is used in receiving (supportive) node, which is supposed to have plenty of energy for transmission. It generates appropriate (supportive) sequence, which is received by a supported...
Wireless sensor networks are used in the field of communications and have gained enormous popularity in recent times. Depending upon the environment in which the wireless sensor network operates, the amount of noise level would differ and hence the data packet loss in wireless communication would vary. This paper presents a solution to the prediction of percentage data packet loss in the wireless...
Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is performed on selected blocks only using the orthogonal...
The increasing ubiquity of mobile embedded systems has been matched by the evolution of a variety of wireless network standards and technologies. The major constraints of wireless embedded systems are limitations of communication bandwidth, processing capabilities, and battery power. Remote wireless embedded systems often act as sensors, which provide data to a certain community. The exchange of data...
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