Ashraf Hossain

Sensing Models and Its Impact on Network Coverage in Wireless Sensor Network

Network coverage of wireless sensor network (WSN) means how well an area of interest is being monitored by the deployed network. It depends mainly on sensing model of nodes. In this paper, we present three types of sensing models viz. Boolean sensing model, shadow-fading sensing model and Elfes sensing model. We investigate the impact of sensing models on network coverage. We also investigate network coverage based on Poisson node distribution. A comparative study between regular and random node placement has also been presented in this paper. This study will be useful for coverage analysis of WSN.

An Approach to Increase the Lifetime of a Linear Array of Wireless Sensor Nodes

The nodes in a wireless sensor network are generally energy constrained. The lifetime of such a network is limited by the energy dissipated by individual nodes during signal processing and communication with other nodes. The issues of modeling a sensor network and assessment of its lifetime have received considerable attention in recent years. This paper provides an analytical framework for placing a number of nodes in a linear array such that each node dissipates the same energy per data gathering cycle. This approach ensures that all nodes run out of battery energy almost simultaneously. It is shown that the network lifetime almost doubles with the proposed scheme as compared to other reported schemes. However, in practice, the nodes are not expected to be placed as per this theoretical requirement. The issue of random placement of nodes has also been investigated to obtain the statistics of energy consumption of a node. The analytical results for random node placement are validated through simulation studies.

Equal energy dissipation in wireless image sensor network: A solution to energy-hole problem

In wireless image sensor networks (WISNs), the nodes closer to the sink are likely to get over-burdened and run out of their battery energy at the early stage of network deployment. This has been reported in the literature as the energy-hole problem. In this paper, we propose to establish equal energy dissipation condition over the network to mitigate energy-hole problem. We consider a data gathering linear array of wireless camera sensor nodes. Each camera sensor node generates one raw image per data gathering cycle. The raw image captured by each camera sensor node is processed locally and sent to the sink node using intermediate nodes. Exact placement of nodes is derived to ensure equal energy dissipation over the network. The raw image is locally processed using discrete wavelet transform (DWT). Network lifetime and peak signal-to-noise-ratio (PSNR) of the reconstructed image are calculated at the sink node for several test images.

An analysis on guaranteed network lifetime for cluster-based wireless sensor network

Designing a wireless sensor network is very important to provide a guaranteed network lifetime where lifetime of the network is limited by the energy consumption of the individual nodes. One approach is to explore clustering idea to extend the network lifetime. Mhatre et al. provides a guideline for that while they have considered an infeasible situation by introducing circular shaped cluster to cover the whole area of interest without overlapping. In this paper we design it on the basis of regular hexagonal cluster. We also provide the performance comparison with circular cluster.

Function approximation based energy detection in cognitive radio using radial basis function network

AbstractIn this paper an attempt has been made to evolve a computationally intelligent energy detection method for spectrum sensing in Cognitive Radio (CR). The proposed method utilizes the function approximation capability of radial basis function (RBF) network to learn the threshold function for a pre-determined range of probability of false alarm and number of samples. The receiver operating characteristic (ROC) results obtained by the proposed method have been compared with the conventional energy detection scheme. It is validated from the results that, the proposed method provides enhanced probability of detection in some cases compared to the conventional one due to its inherent shortcoming in terms of computational intelligence.

Virtual MIMO in wireless sensor network - a survey

The growing interest in wireless sensor network which is battery operated, demands an energy efficient network with maximum lifetime. To solve this problem a new architectural technique developed known as Virtual MIMO. The key role of this technique in the design of energy efficient network inspired for surveying about its utility and deployment. This survey paper mainly focuses on the implementation of MIMO technology in single antenna system by exploiting the cooperative concept and its energy saving method by the help of Virtual MIMO technique. It also highlights the major optimizing parameter of Virtual MIMO techniques to improve the life time of a wireless sensor network with minimum energy consumption.

Impact of boundary effect on coverage fraction in Wireless sensor network

Sensing coverage or coverage fraction is a critical performance merits of the quality of service (QoS) offered by a Wireless sensor network (WSN). The coverage performance of a sensor network strongly depends on how efficiently the nodes are deployed in the field of interest. Boundary effect plays a significant role on the node deployment planning. In this paper, we investigate the impact of boundary effect on network coverage fraction for probabilistic sensing model. Furthermore, we have studied how the multiple deployment scheme enhances the network coverage.

Energy optimization of wireless sensor network with node density in multi hop hexagonal clustering for large structure

A sufficient multi-hop hexagonal clustering for grouping of sensor nodes can increase the energy efficiency to enhance the lifetime of sensor node in wireless sensor network (WSN).The main objective of WSN is to gather the important real time data from coordinating sensor nodes and save the energy of sensor nodes by providing path cost relay routing in complex nodes deployment. In this paper, sensor node saves the energy in node density field (NDF) to increase the lifetime of WSN. For data management, energy efficient routing perform tree based relay routing algorithm to transmit the important data from sensor location to sink node. The propose model routes the data through hexagonal edge relay and provides shortest path minimum spanning tree routing to control the transmission power in WSN. The energy of sensor node in node density field is simulated on MATLAB. Simulated result shows that NDF outperforms the direct reporting method of data transmission to sink in WSN.

Performance Analysis of TRDMA Under Multi-path Rician Fading Channel

The unprecedented growth of wireless communication resulted in large number of personal digital devices, which created rapid increment in traffic due to their demand for data and content access. Present sub-6 GHz spectrum with various techniques is unable to fulfill future requirement so it is inevitable to go for millimeter wave spectrum which offers a large bandwidth. Time-reversal technique promises for low complexity wideband system with high throughput. In this paper, we investigated the performance of time-reversal division multiple access scheme in terms of average achievable sum rate and SINR in a multiple-input-single-output environment under Rician fading environment considering the effect of specular power. We present a detailed comparison of system performance measuring parameters such as effective SINR and achievable sum rate with various value of K and various system configurations.

Experimental Performance and Study of Low Power Strain Gauge Based Wireless Sensor Node for Structure Health Monitoring

A low cost strain gauge can be implemented to detect damage before natural disaster phenomena in real time for monitoring the health of structure. The most common non-destructive sensing element such as strain gauge employs in the form of array is to measure surface strain of concrete structure. In this paper, we perform an experiment for developing the wireless sensor node to recover the characteristics of surface strain. The objective of an experiment is to model the strain sensor to receive large assessment data in real time. It analyzes the surface strain on mechanical cantilever beam and receives the electrical signal with the help of signal conditioning amplifier circuit in civil engineering laboratory. Moreover, an essential observation is that the experimental results are equivalent to numerical results when location of load point is closed to strain sensor. The experimental results are essential in development of strain gauge based sensor node which is useful for structure health monitoring.