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A Medium Access Control (MAC) protocol for time-critical wireless applications called Enhanced Priority MAC (EPMAC) is proposed in this paper. The proposed scheme supports three traffic categories prioritizing emergency traffic over non critical one and beacons are emitted to announce that the channel will be occupied. EP-MAC is designed so that the highest priority traffic postpones lowest priority...
In modern communication system, for compressive sensing, signal reconstruction involves searching a sparse solution. Till now several approaches to same problem have been measured in existing reconstruction algorithms. They provide a compromise between restoration capabilities and required computational time. In an effort to push the limits for this compromise, we consider a smoothed l0 norm (SL0)...
The use of energy harvesting wireless sensor network (EH-WSN) is a rising wireless communication technology with a wide range of applications such as environment monitoring. Maximizing the number of samples collected by the sink from sensors is a key approach in order to minimize uncertainties for those applications. The considered system in this paper consists of an uplink scenario with EH sensors...
We investigate the performance of dual-hop cooperative amplify-and-forward relaying systems in wireless body area networks over independent and non-identically distributed Gamma fading channels. In particular, tight lower bounds on the end-to-end outage and symbol error probabilities, for fixed gain and channel state information (CSI)-assisted relaying scenarios, are derived in closed-form for arbitrary...
The 5G network prospect of seamlessly connected global devices with delay-tolerant communication, millisecond latency and gigabits per second data rate suggests the need for high resolution location-aware systems with new methods for positioning services. Traditional geo-positioning methods have been characterized by detection and mitigation of NLOS paths where discrimination between LOS and NLOS...
The design of measurement matrices is one of the key contents of the compressed sensing (CS) theory. This paper constructs a new dual-structured measurement matrix-unit array + random matrix, by combining the advantages of the random measurement matrices with high recovery probability and the structured measurement matrices of low storage. The experiments show that the reconstruction errors can be...
Underwater Wireless Sensor Networks (UWSNs) find a wide variety of applications like underwater monitoring & exploration, tsunami and other storm detection, oil field monitoring, oceanographic data collection etc. All these applications need the observation of the various ocean characteristics. The paper includes the performance analysis of different characteristics of underwater acoustic communication...
We consider a wireless two-hop downlink communication system where a grid-connected source node transmits data to a destination node with the assistance of a full-duplex (FD) relay that is powered by wireless energy harvesting. The relay splits its received signal from the first hop into two streams for energy harvesting and information decoding, respectively. Meanwhile, it also forwards the decoded...
The 5G network prospect of seamlessly connected global devices with delay-tolerant communication, millisecond latency and gigabits per second data rate suggests the need for high resolution location-aware systems with new methods for positioning services. Traditional geo-positioning methods have been characterized by detection and mitigation of NLOS paths where discrimination between LOS and NLOS...
Wireless sensor networks (WSNs) show immense promise in many applications, such as environmental monitoring and remotely metering. Compressive sensing (CS) is a novel signal processing that has been envisioned as a useful regime to address the energy and scaling constraints in WSNs. CS is able to move the burden of sensory nodes to central cloud/server. However, prevailing CS reconstruction algorithms...
We study the problem of finding an efficient schedule for convergecast in a wireless sensor network, using the SINR model of interference, and a TDMA protocol for medium access. We compare two approaches to computing a minimum length schedule for the TDMA frame. In the first approach, called the TC-approach, a multi-set of transmission configurations that are interference-free and that cover the convergecast...
Wireless sensor networks have found many applications because of their facility for remote information monitoring and processing. One of the main applications of sensor networks is detection of an event occurrence. In these applications, a fusion center decides about an event occurrence based on the data of sensors. Here, the goal is to detect event occurrence correctly while avoiding its false detections...
Transmission Control Protocol (TCP) has long been used host-to-host over the internet in order to provide reliable and ordered exchange of data. A core component of the protocol is congestion control. Traditional forms of TCP congestion control such as New Reno have been shown to perform poorly over wireless links as a result of non-congestive losses induced by variations in the wireless channel....
Cognitive radio (CR) is a prominent candidate to solve the spectrum scarcity problem faced by the proposed as well as existing wireless services. It exploits the opportunities, also called as spectrum holes, and created due to the underutilization of the licensed spectrum. Spectrum sensing plays the most important role to detect these spectrum holes. Individual CR sometimes faces problems in accurate...
In this paper, we investigate physical layer network coding (PNC) and destination assisted cooperative jamming (DACJ) for physical layer security in wireless sensor networks, in which there is one source, one destination, a cluster of intermediate nodes, and multiple eavesdroppers. Under the PNC protocol, the considered two-hop wireless sensor network implements a complete transmission process in...
The communication range of underwater acoustic networks (UAN) is limited by the properties of underwater environment. Especially, the networks including small number of nodes have communication problems for long ranges. To challenge this problem, topology control in UAN is a promising solution. In this study, Topology Control Vector Based Forwarding Algorithm (TC-VBF) is proposed. The TC-VBF uses...
We investigate the end-to-end outage probability over a multi-source multi-relay network assuming that all the wireless links are suffering from independent block fading variations. The overall transmission is divided into two tandem hops. The first hop represents the transmission between sources and relays, while the relays transmit to the destinations in the second hop. We consider specifically...
Level set estimation (LSE) is the process of classifying the region(s) that the values of an unknown function exceed a certain threshold. It has a wide range of applications such as spectrum sensing or environment monitoring. In this paper, we study the the optimal LSE of a linear random field that changes with respect to time. A linear sensor network is used to take discrete samples of the spatially-temporally...
We propose a relay subset selection method for two-hop Wireless Sensor Networks (WSNs) where the source-relay links are modeled as time-varying fading channels. Assuming perfect channel estimation at relays, the channel state is quantized to binary levels, called as Good and Bad states, and is modeled by a Gilbert-Elliott channel. The relays compress their quantized channel state information and transmit...
Low-power wireless devices suffer notoriously from Cross- Technology Interference (CTI). To enable co-existence, researchers have proposed a variety of interference mitigation strategies. Existing solutions, however, are designed to work with the limitations of currently available radio chips. In this paper, we investigate how to exploit physical layer properties of 802.15.4 signals to better address...
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