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Knowledge of sensor node 3D location in a sensor network is more important, because many practical applications needs to know the location of sensor data source. This paper presents a new technique for finding indoor 3D location of a sensor node by using Received Signal Strength Indication (RSSI). Proposed localization algorithm is derived from centroid algorithm with composition of empirical path...
Sensor data collection through clustering mechanisms has become a common strategy in Wireless Sensor Networks (WSN). Usually in WSNs the clusters are formed dynamically and repeatedly to get uniform utilization of energy. It has been seen in many large scale dynamic cluster based WSNs that the sizes of clusters, in terms of number of nodes, show high variance. This affects the data aggregation mechanism...
Localization, the determination of geographical location of sensors is a fundamental problem in wireless sensor networks. In this paper we consider a static wireless network in which the reference nodes are static-non moving. We propose a positioning method known as hybrid optimizing algorithm (HOA) which combines steepest decent method and Taylor series expansion method. The steepest decent method...
Considering the fact that the wireless sensor networks (WSNs) need to maintain a long lifetime, there is a great demand to decrease energy dissipation of the sensor. Data compression is an efficient method to solve the problem. This paper proposes a practical and efficient data compression algorithm with high compression and noise-resisted features, in which the quasi-cyclic low-density parity-check...
Coverage is an important performance metric for wireless sensor networks (WSNs), and different coverage models have been proposed for different WSN applications. In this paper, based on the confident information coverage (CIC) model proposed in our previous study, we study the critical sensor densities (CSDs) of three simple placement patterns, which are tiling by repeating three regular polygons,...
This paper proposes a method to localize an offshore pollutant source in lakes. The concentration of pollutant is measured periodically over time by sensor nodes distributed spatially. The location of the pollutant source is estimated by using unscented Kalman (UKF) spatial-temporal filtering approach when new temporal and spatial concentration measurements are obtained. In simulations, we compare...
Since the energy constraint is a fundamental issue for wireless sensor networks (WSNs), the expectation of network lifetime has become a critical performance index. In actual applications, due to the data traffics may fluctuate randomly, there is a compelling need for a routing strategy that is robust to the variation amplitude of time varied data traffics. In this paper, we jointly consider the lifetime...
To solve the location issue, in this paper, we proposed a Received Signal Strength for Directional Antenna (RSS-DA) scheme, it uses the mobile anchor nodes that already know the coordinates to join the Received Signal Strength (RSS) measurement in the data transmission. The number of beacons conforms to the terminated threshold in the sensor nodes, the estimated locations are used the RSS algorithm...
Reliability has become one of the most vital requirements in wireless sensor networks (WSNs). One efficient way to increase the reliability is by using erasure coding techniques such as Reed-Solomon/Cauchy Reed-Solomon. The problem is the time required for encoding and decoding the data words, especially when large amount of data need to be sent like in complex WSN applications. In this paper, we...
Motivated by the need to control complex hydronic systems, this paper presents and analyzes control strategies for energy efficient thermal load regulation by means of a model-predictive control (MPC) embedded into a low-power wireless controller. Hydronic systems are found in a wide variety of applications such as building controls, industrial plants, and naval vessels. A laboratory test-bed which...
This paper presents distributed state estimation methods through wireless sensor networks with event triggered communication protocols among the sensors. Optimal consensus filters are derived which apply to generic non-uniform and asynchronous information exchange scenarios among neighboring sensors. To obtain a scalable covariance propagation algorithm, the optimal filter is approximated by a suboptimal...
Recently, Wireless Sensor Networks (WSNs) with energy harvesting capabilities are experiencing increasing interest with respect to traditional ones, due to their promise of extended lifetime. We consider the case of a pair of Energy Harvesting Devices (EHDs), with the main goal of maximizing the long-term aggregate average importance associated with the transmitted data. The devices, at each time...
With the proliferation of the application areas of the Wireless Sensor Networks (WSNs) and the technological advances in sensor electronics, target tracking has become one of the most important functions in WSNs. The overwhelming majority of moving target tracking studies in WSNs has assumed either one-dimensional space (lineland), or two-dimensional domain (flat-land). However, many existing, such...
IEEE 802.15.4 Medium Access Control (MAC) layer does not include the Request-To-Send/Clear-To-Send (RTS/CTS) handshake mechanism, in order to overcome the hidden node problem that affects Wireless Sensor Networks (WSNs). In this paper we propose and analyse the use of RTS/CTS in IEEE 802.15.4 for the nonbeacon-enable mode. The proposed solution shows that by considering the RTS/CTS mechanism combined...
Real-time train localization using wireless sensor networks (WSNs) offers huge benefits in terms of cost reduction and safety enhancement in railway environments. A challenging problem in WSN-based train localization is how to guarantee timely communication between the anchor sensors deployed along the track and the gateway deployed on the train with minimum energy consumption. This paper presents...
Wireless Sensor Networks (WSN) continue their tremendous growth acceleration. WSNs have found their way into a wide range of domains, from military and transportation applications to medical and environmental monitoring. Some of these applications can include a very large number of nodes, which poses significant challenges to network lifetime, data transmission, and overall reliability. Recently,...
The determination of the geographical locations of sensors is one of the important problems in wireless sensor networks. Indeed, the need for position estimation of a node is not only necessary for the operation of network but also for the interpretation of data sent. The use of GPS is a hardware solution that provides good accuracy but expensive and is not available in any environment. However, the...
Target Tracking is one of the most important issues in wireless sensor networks. In a densely deployed wireless sensor networks (WSNs), all sensors participating in the monitoring task can provide full coverage but might inefficiently consume their energies if the target did not enter the region. This paper proposes an energy-saving and quality-guaranteed target tracking mechanism, called EQTT, which...
A wireless sensor system was used to monitor carbon monoxide and smoke air pollutants. A MATLB curve fitting toolbox was used to read both CO and smoke readings with a single sensor (MQ2). The system have an HTML-based interface developed in MATLAB software for displaying the pollutants level in parts per million gathered by the commercially available sensor. The paper presents a system which provides...
Wireless Body Area sensor Networks (WBANs) enable innovative health care monitoring. Limited energy source of a sensor node limits WBANs for long time monitoring of health care. Efficient energy utilization is therefore one of the research challenges inWBANs. In this research work we analysed energy utilization of popular routing techniques. We formulate a mathematical framework to identify energy...
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