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All visions of wireless sensor networks share the idea of small, inexpensive devices, distributed at all scales throughout everyday life. By using their smart phones millions of users were given an ubiquitous controller with a convenient user interface and the capability to set up their own wireless personal area network (WPAN). Smart home, ambient assisted living and health care applications were...
Greendicator is an indicator system that enables embedded systems to output text to camera-equipped smart-phones by blinking an LED. The transmitter emits modulated light pulses using an existing visible-light LED or an IR diode, laser, or light reflector. The receiver uses a camera-equipped smartphone to sense the light pulses and GPU to decode the original message. We demonstrate its use in supporting...
Industrial Wireless Sensor Networks (IWSNs) have been increasingly adopted in process automation due to a number of advantages such as cost reduction and enhanced flexibility. Nevertheless, transmission over wireless channels in industrial environments is prone to interference, resulting in frequent erroneous packet deliveries. Existing IWSN standards based on the IEEE 802.15.4 specification only...
Turbo codes have been measured for power-constrained wireless communication applications, since they assist a low power consumption. In our paper, we implement the turbo decoder in wireless networks by using basic architecture of Add Compare Select Unit (ACS) which is derived from the LUT-Log-BCJR (Bahl-Cocke-Jelinek-Raviv) architecture. Further our paper facilitating power consumption reduction and...
This paper describes the digital system for neural recording and stimulation, which is designed for bionic neural link (BNL). The digital design for neural recording converts the multi-channel neural spikes as one trigger command and sends out via wireless channel. The digital stimulation design generates the adaptive arbitrary waveform to stimulate the muscle when a trigger signal comes. The digital...
Various advantages including higher order of diversity gain and transmission power saving can be obtained in wireless communications through relay-aided transmissions. In this paper, the energy efficiency of a wireless relaying system based on an automatic repeat request (ARQ) protocol is investigated. A system with multiple relays between a source node (SN) and a destination node (DN) is considered...
Distributed storage coding has been widely applied on data gathering over unreliable wireless sensor networks (WSNs), where it is essential to ensure the data persistence in case of several sensor failures caused by battery run-out or some physical damage problems surroundings. How to efficiently disseminate and collect the sensing data over WSNs is a key challenge yet. In this study, assumed that...
In wireless video multicast, the main challenge is to meet the demands of heterogeneous receivers who face the same video source stream but show different channel characteristics. This paper proposes an improved compressed-sensing-base wireless video multicast (iCS-WVM) technique, where the measurements of each group of pictures (GOP) are packed and transmitted through an analog channel. Each receiver...
This paper proposes a transmission method of compressed sensing as a source processing technology combined with network coding. In wireless sensor networks, using compressed sensing and network coding technology jointly, not only can reduce the times of packet transmission, but also improves the efficiency of data transmission and the throughput of the network. The scheme in this paper takes full...
Convergecast is probably the most common communication style in wireless sensor networks (WSNs). And network coding (NC) is a promising concept to improve throughput or reliability of convergecast. Most of the existing works have mainly focused on exploiting these benefits without considering its potential adverse effect. In this paper, we argue that network coding may not always benefit convergecast...
We present an incremental code update strategy used to efficiently reprogram wireless sensor nodes. We adapt a linear space and quadratic time algorithm (Hirschberg's algorithm) for computing maximal common subsequences to build an edit map specifying an edit sequence, required to transform the code running in a sensor network to a new code image. We then present a heuristic-based optimization strategy...
Multi-hop over-the-air reprogramming is essential for the remote installation of software patches and upgrades in wireless sensor networks (WSNs). Recently, coding-based reprogramming protocols are proposed to address efficient code dissemination in environments with high packet loss rate. The problem of analyzing the performance of these protocols, however, has not been explored in the literature...
The theory of compressive sensing has shown that with a small number of samples from random projections of a sparse signal, one can recover the original signal under certain conditions. In this paper, we use compressive sensing to design a random access protocol for requesting uplink data channels. A wireless node transmits a pseudo-random sequence to an access point (AP) when it requires an uplink...
Wireless sensor network (WSN) has attracted a lot of interest for its wide range of practical applications. The energy-resource limitation of WSN demands transmissions between sensor nodes to be high efficiency. Random linear network coding (RLNC) exploits the broadcast and distributed nature of WSN to improve the throughput of network. The throughput gain brought by RLNC grows up as the generation...
In this paper, we present a novel Group Data Collection (GDC) scheme for wireless sensor networks with a mobile base station by using coding for data storage in the sensor nodes. By separately encoding a certain number of data segments in a combined segment and doing data replacement in each sensor node, the proposed GDC scheme not only provides an efficient storage method for group data, but also...
In this paper a new energy-efficient error control mechanism based on Redundant Residue Number System (RRNS) is proposed for Wireless Sensor Networks (WSNs). In general, WSNs suffer from burst errors due to their inherent nature. An error detection and correction approach has been developed to handle burst errors more efficiently. Residue encoders transform the sensed data to small-sized and independent...
Aiming at wireless network attacks such as DoS attacks, rouge STA, rouge AP, War Driving attacks and brute force attacks, a Lightweight Intrusion Detection System(IDS) for Wireless Lan(WLAN) is implemented by combining the misuse detection and anomaly detection. In this system, the user can define attack rule set, authorization AP/STA list, illegal AP/STA list, the sensitivity and the threshold value...
In this paper, a practical video coding scheme is developed to realize state-of-the-art video coding efficiency with lower encoder complexity at low bit-rate, while supporting standard compliance and error resilience. Such an architecture is particularly attractive for wireless visual communications. At the encoder, multiple descriptions of a video sequence are generated in the spatio-temporal domain...
Deployment of Wireless Sensor Networks in real-world control and monitoring applications may reveal performance problems caused by several factors. To track down such problems, it is necessary to inspect the conditions of network and nodes after deployment. In this paper, we discuss a monitoring software architecture for inspection of WirelessHART networks. Capture of information is done in a passive...
Designing reliability solutions for WSNs poses intricate challenges due to limitations in processing power and available energy. Such networks are often deployed in harsh and inaccessible environments and are therefore required to be highly reliable. However, reliability normally translates to redundancy in hardware and other resources implying both complexity and higher costs. In this study, we consider...
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