Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements. In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or the requirement for a fewer number of local measurements can be expected if the nodes cooperate. In this paper, we provid...

This paper presents a studyof the impact of reference node locations on the accuracy of the indoor positioning systems. In particular, we analyze the localization accuracy of the RSSI database mapping techniques, deploying on the IEEE 802.15.4 wireless networks. The results show that the locations of the reference nodes used in the positioning systems affect the signal propagation characteristi...

Breast cancer is one of the most common malignancies in the world. The most important prognostic factor in this cancer is the stage of the tumor. Detection of lymph nodes with or without malignancy is essential for determining the stage of the tumor and setting a therapeutic plan. There are different methods for isolating lymph nodes in surgical specimens of breast cancer in the pathology ...

It has been recently demonstrated that the challenging implementation of the signal detectors can be facilitated by using the compressive sampling theory. In this paper, we consider a network of secondary nodes that cooperate to detect the primary signals by sampling the overall bandwidth periodically at a rate much smaller than the Nyquist rate. The delays inherent to the propagation channel a...

In this paper the problem of scheduling with power control in wireless networks is studied: given a set of communication requests, one needs to assign the powers of the network nodes, and schedule the transmissions so that they can be done in a minimum time, taking into account the signal interference of concurrently transmitting nodes. The signal interference is modeled by SINR constraints. Ap...

The accurate estimation of power signal parameters allows smart grids to optimize delivery efficiency, improve equipment utilization, and control flow among generation nodes loads. However, practically it becomes a challenging task because the presence harmonic distortions. In this study, parameter system harmonics is investigated through swarm intelligence–based optimization strength cuckoo se...

Frequent changes in network topology due to mobility and limited battery power of the mobile devices are the key challenges in the adhoc networks. The depletion of power source may cause early unavailability of nodes and thus links in the network. The mobility of nodes causes frequent routes breaks and adversely affects the required performance of the applications. We propose a cross layer desi...

Target tracking is usually a challenging application for wireless sensor networks (WSNs) because it is always computation-intensive and requires real-time processing. This paper proposes a practical target tracking system based on the auto regressive moving average (ARMA) model in a distributed peer-to-peer (P2P) signal processing framework. In the proposed framework, wireless sensor nodes act ...

In this paper, we introduce a new scheme that allows transmission from a set of asynchronous transmitters to a remote destination which, otherwise, would not be capable to forward the data individually. In our scheme the small devices form an Opportunistic Large Array (OLA) by reacting to the signal sent by a special node in the network, called the leader. The problem solution provides as a byp...

Immune system plays crucial role in body and lymph nodes are essential parts of this system for combating pathogens. However, no study has ever been conducted on morphometric development of sheep lymph nodes in fetal period. Thus, this study attempted to examine the morphometric characteristics of a number of important lymph nodes of some lymphocenters of sheep during fetal period. To this end,...