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This paper presents a routing algorithm for wireless multi-hop ad hoc networks, which applies distributed source coding (DSC) and multi-path transport of data packets. DSC enables the relay nodes to efficiently encode the packets and helps the destination node to correctly decode the information from multiple erroneous copies of the same packet received via different paths. While in conventional communication...
We design rateless codes for correlated multi-source relay networks over packet erasure channels. In particular, we optimize relay combining process of distributed Luby transform (DLT) codes for a multi-source single-relay network where information data is correlated among the sources. Density evolution is used to characterize the asymptotic performance in terms of unrecovered information symbols...
Selective encryption approaches for efficient multimedia content protection is proposed in wireless multimedia sensor networks (WMSNs) by many authors. Apart from these methodologies, the other important aspect which is discussed in some literatures is the combined optimization of multimedia quality, content protection and energy issues pertaining to communication. However in these joint optimization...
Wake-up Radio receivers (WuRx) must be energy-efficient for their integration into Wireless Sensor Networks (WSNs). The most energy-hungry component is the address decoding hardware and it is generally powered by the node battery. In this paper, an addressing mechanism is proposed and the decoding process is explained in detail, on the contrary of previous works. This paper also shows the energy reduction...
An efficient framework of distributed compressive video coding using Enhanced side information for WSN is proposed. At the encoder, the incoming video frames are split into key frames and Wiener-Ziv (WZ) frames depending on Group of Picture (GOP). Based on Distributed Video Coding (DVC) these frames are processed independently and transmitted over WSN. Generally the WZ frames are encoded at a lower...
A high-speed start-up and low-power decoding circuit for wireless sensor networks is presented. The Manchester code that is currently used for Ethernet (10BASE-T), noncontact IC cards, and RFID systems requires a phase-locked loop because the intervals of the state transition change. In the proposed circuit, state transitions occur periodically at the center of a waveform owing to the use of an encoding...
A Wireless Sensor Network (WSN) is a system comprising of spatially dispersed self-sufficient gadgets by utilizing sensors to agreeably screen a portion of the conditions. Data that are used in WSN are used in decision making in critical infrastructure. An additional node is introduced in network which is known as malicious node to compromise the existing ones, so for the perfect decision making data...
Recent experiments have demonstrated the ability of neuroscientists to gain direct access to neural signals in real time, and decode the resulting information to control various prosthetic devices. This — along with deep brain stimulation for Parkinson's disease and a variety of other conditions — extrapolates to a premise that widespread "brain interface" medical device technologies are...
In this paper, we consider delay-constrained data transmission based on network coding techniques over error-prone IoT networks. While network coding approaches can provide various advantages, there is a critical drawback referred to as all-or-nothing problem; the encoded source data cannot be recovered if a set of required number of data is not entirely received by a decoding deadline. As a solution,...
The bit recycling compression technique has been introduced to minimize the redundancy caused by the multiplicity of encodings present in many compression techniques. It has achieved about 9% as a reduction in the size of the files compressed by Gzip. In prior work, we have proposed an arbitrary-precision technique to adapt bit recycling to arithmetic code instead of Huffman code. We have shown that...
In this paper a strategy for increasing data persistency in wireless sensor networks has been proposed. Due to usually hazardous environment and limited resources, sensors in the network are vulnerable. Therefore the best approach to increase data persistency is distributed storage. We propose an Efficient Distributed Storage based on LT codes (EDSLT) strategy which implements directional random walk...
Power consumption minimization in Wireless Sensor Networks (WSNs) has been discussed extensively in literature. Usually, a central node (a receiver) in WSNs consumes large amount of power due to the necessity to decode every received packet regardless of the fact that the transmission may suffer from packets collision. Current collision detection mechanisms in WSNs have largely been revolving around...
In this paper we proposed correcting codes-based on modular arithmetic — to improve the data transmission robustness in wireless sensor networks. We developed a new method and algorithm for the detection and correction of multiple errors. The codes are characterized by high correction characteristics as well as the simplified coding procedure1.
Recently wireless sensor networks have been shown to be very attractive for many wireless communications applications. A large number of very tiny sensors spread over the area under consideration constitute the wireless sensor networks. These tiny sensors have limited power resources. Due to limited built-in battery life-time at each sensor, minimizing power consumption in the sensors is an important...
Wireless Sensor Networks (WSNs) have been considered one of the very promising technologies for the implementation of smart grid. WSN-based smart grid communication protocols have been focused on extending the node's lifetime which is heavily depends on the energy consumption of the node. Since wireless sensors are typically deployed in an ad hoc fashion and operate off of a limited energy source,...
This paper considers the problem of parameter tracking in wireless sensor networks. The sensor nodes observe a random vector source that varies according to a state-space model, and perform linear precoding on the observations, before coherently transmitting them to the fusion center. The fusion center then linearly decodes the received vector in order to recover the source vector. Compared to the...
In this work we describe the implementation details of a protocol suite for a secure and reliable over-the-air reprogramming of wireless restricted devices. Although, recently forward error correction codes aiming at a robust transmission over a noisy wireless medium have extensively been discussed and evaluated, we believe that the clear value of the contribution at hand is to share our experience...
In this paper, the KALDI ASR engine adapted to Italian is described and the results obtained so far on some children speech ASR experiments are reported. We give a brief overview of KALDI, we describe in detail its DNN implementation, we introduce the acoustic model (AM) training procedure and we end describing some experiments on Italian children speech together with the final test procedures.
Wireless sensor networks (WSN) provide attractive solutions for data exchange in a variety of applications from military surveillance to medical and environmental monitoring. The commonality in all such applications is that the data collected in some nodes of the network is needed at some other nodes, for instance in a data collector node. The nodes are typically limited in terms of power, memory,...
Emerging wireless sensor networks (WSNs) aim to overcome current needs for additional backbone infrastructure in mobile networks. Confronted with enormous requirements in terms of spectrum and energy efficiency, WSNs have been shown to benefit from distributed source coding (DSC) by means of multi-route redundancy. However, DSC in WSNs yields low performance regarding the correlation estimation of...
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