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The data collected through high densely distributed wireless sensor networks is immense. The asymmetry between the data acquisition and information processing makes a great challenge to the restriction of energy and computation consumption of the sensor nodes, and it limits the application of wireless sensor networks. However, the recent works show that compressed sensing can break through this limitation...
Multiple targets tracking is one of the challenging applications in a wireless sensor network due to targets' movement in different directions, targets' speed variations and frequent connectivity failures of low powered sensor nodes. If all the low-powered sensor nodes are kept active in tracking multiple targets' coming from different directions of the network, there is high probability of network...
Despite many of the same properties between standard median filter (SM) and Pseudo-median filter (PM), SM can remove impulses completely but PM not. However, PM can be more efficiently calculated which is very important for processing data online in WSN. In order to synthesize the advantages of performance of PM and SM, an improved method combined the advances of PM and SM is proposed in this paper...
This paper studies a communicated architecture of Wireless Sensor Network. And the hardware design of the sink node which could be responsible for transmission data or instructions between sensor nodes and data terminal is discussed in detail. The sink node, which uses ZigBee, GPRS, and Ethernet techniques on ARM7 microcontroller, is capable of bridging the user terminal with sensor nodes for information...
In this paper, we briefly describe the wireless sensor network(WSN), and highlight the design of RF antenna with a gain based on nRF905 chip, then complete an intelligent greenhouse monitoring system for agricultural greenhouse temperature based on WSNs. Finally, we confirm the feasibility of the system design through some tests.
Due to uncertainties in target motion and limited sensing regions of sensors, collaborative target tracking in wireless sensor networks (WSNs) suffers from low tracking accuracy and lack of reliability when a target cannot be detected by a scheduled sensor. Generally, actuating multiple sensors can achieve better tracking performance but with high energy consumption. Tracking accuracy, reliability,...
Recent advances in Wireless Sensor Networks (WSNs) make them more important to apply. Therefore, security issues are more significant in WSNs. WSNs are susceptible to some types of attacks since they are consisted of cheap and small devices and are deployed in open and unprotected environments. In this research, an Intrusion Detection System (IDS) created in cluster head is proposed. The proposed...
In the paper, we propose a new d-hop Clustering method for a clustering-based multi-hop routing scheme in large-scale wireless sensor network. d-hop clustering means that each cluster contains all nodes that are at distance at most d-hops from the clusterhead, so that the number of clusters can be getting smaller to make it possible to guarantee the combined system performances including end-to-end...
Potential barrier parameter induced bistable stochastic resonance (BSR) was studied in this paper. Based on the former stochastic resonance study, potential well parameter b was investigated to explore the parameter-induced stochastic resonance characteristics. A bluetooth stack-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance...
6LoWPAN enables IPv6 to be applied to wireless sensor network and enable end to end communication. One of the 6lopwan features is the capability of dynamic assignment of 16 bit short addresses. Using this feature a hierarchical routing protocol was designed. The designed hierarchical routing protocol focuses on the address allocation method and routing mechanism. However the routing protocol doesn't...
A intelligent monitor and control system on multi-factor of aquaculture environment based on wireless sensor networks is designed adopting BP neural networks. The system uses wireless sensor nodes to detect a variety of water quality parameters transmitted to the on-site monitoring host computer through sink node wirelessly. The control module consists of fuzzy controller and decoupling neural network...
In wireless sensor network studies the main objective is minimizing the energy consumption so that the lifetime is maximized under the limited battery capacity constraints. In most event-driven surveillance applications, the end-to-end delay should also be minimized. In this paper we present a new EDO-MAC (energy and delay optimization Media Access Control) which reaches a good balance between energy...
Intelligent environments employ electronics unobtrusively integrated with the ambient to predict and to respond to the needs of people, enhancing many aspects of the everyday life. Wireless sensor network (WSN) are at the center of ambient intelligence applications. They consists of thousands of distributed sensing devices, that continually collect and transmit information about the surrounding environment...
Wireless sensor networks are an important research area that has attracted a lot of attention in the past few years. Most of this attention, however, has focused on wireless sensor network collect scalar data such as temperature and vibration. Scalar data is insufficient for many applications such as video surveillance and traffic monitoring. Whereas, camera sensors collect video data, which are rich...
Wireless sensor networks consist of various sensor nodes which operate in a memory, energy and bandwidth constrained environment. Target tracking is an important application in wireless sensor networks and in this paper we propose an energy aware target tracking (EATT) algorithm. Energy efficiency is obtained due to the novel concept of tracking being performed in a collaborative manner by different...
This paper analyzes the energy consuming characteristics of data acquisition in wireless sensor network node. The impaction of node's data acquisition subsystem design is addressed. Schemes to improve energy saving of data acquisition are presented with precondition of guaranteeing performance, which includes choosing and setting working parameters of sensors, setting working parameters of the DC/DC...
Wireless Sensor Network (WSN) nodes are powered by limited battery and communication consumes most of the energy. Therefore, it's not appropriate to transmit data directly in the networks while compressing data before sending is an effective method to save energy for nodes. According to the need for fully recovering the compressed numerical data, based on the LZW (Lempel-Ziv-Welch) algorithm, this...
The different algorithm of data classification and clustering to identify the subject on the room is introduced. The aim is to provide a learning approach for pattern classification of presence sensors data. The focus system is on its application to find the best method for identification the subject location using a specific category of data simulated. The main features of the system include: automatic...
The problem of localizing an uncooperative target using binary observations and without the knowledge of the propagation model is considered. Three new estimators for the location of the target are utilized. Their performance, in the MSE sense, is studied analytically and through simulations. Results show that these estimators significantly outperform the existing approach.
Based on the concept of hybrid shift-invariant spaces, we develop a distributed protocol for the reconstruction of time-varying physical fields in wireless sensor networks. The localized nature of these spaces allows for a clustered network architecture that leads to low communication overhead. Capitalizing on the sparsity of the reconstruction matrix, we propose an iterative reconstruction algorithm...
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