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Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.
Routing in Wireless Sensor Networks has to take into account the limited battery resources of the nodes. Sensor nodes can also be powered by other energy sources like solar energy. This paper provides a review of Environment monitoring using Wireless Sensor Networks. The issues related to environment sensor networks is highlighted. The real time applications in environment monitoring is presented with emphasis on energy conservation. Furthermore in this paper we address the problem of scavenging energy using solar powered devices.
Clustering technique is the basic technique used in the wireless sensor network to enhance the lifetime of a sensor network by mitigating energy consumption and provide efficiency, scalability, and security. Formerly sensor nodes are considered to be homogeneous in which each node has the same processing capacity, energy and functionality, but to prolong network lifetime researches has been evolved to infuse heterogeneity in wireless sensor network such as to provide different energy level to some nodes. In this paper, we present a survey on basic clustering techniques for Heterogeneous wireless sensor networks.
As the world runs fast, its our duty to run with the world compensating its speed. There is an urge to prove everyone unique. Hence time management play a worthless role in the daily work of a person. At morning it is a herculean task to wake up from the bed. “Let me sleep for some more time” is the first slogan of everyone every morning. But feeling guilty for not waking up in the morning is also encountered in several cases. In this paper we propose a novel “Murderer Algorithm” based automatic waking up system that helps to wake up every morning. The uniqueness of the system is to make the person in the bed to wakeup and get away from the bed. The device employs simple capacitive touch sensor to sense the presence of a person and also a brig
This paper designs an observer to estimate the spacecraft’s angular velocity using only Euler angles attitude without gyroscope measurement. This work contributes as an alternative or backup system during unavailable gyroscope measurement due to faulty sensor or reduction of sensor hardware for cost reduction.In this work, the observer model for satellite attitude is derived in their nonlinear form, and the observability of the nonlinear system is investigated using Lie derivative. The performance of the designed observer is analyzed and verified using real flight data of Malaysian satellite by employing Extended Kalman Filter algorithm.
Automatic Pneumatic Door Using IR Sensors, serves to automate the mechanism of door operation using Pneumatic, Arduino microcontroller and infrared sensor technology. The methodology applied in the project is divided into three parts, firstly designing and fabrication of the door with the calculated dimensions, secondly, developing a program on the Arduino for door operation and thirdly, interfacing the different components to work together in a cohesive manner.
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In wireless sensor network nodes position estimation in space is known as localization. Node localization in wireless sensor network is important for many applications and to find the position with Received Signal Strength Indicator requires a number of anchor nodes. However the estimation of distance from signal strength decay in not very accurate especially in time varying environmental conditions and the estimation of exact direction required highly directive antenna but, may still affected by multipath fading. A Genetic Algorithm for wireless sensor network localization is proposed in this paper to solve the issue that the positioning accuracy is low with minimum anchor nodes. Hence in this paper we are presenting a Genetic algorithm for optimization approach which tries to find the optimal location by satisfying both the criteria with minimal error. The simulation results also shows effectively outperform both the techniques.
Vehicle Sensor Networks (VSN) are emerging as a new tool for effectively monitoring the physical world, especially in urban areas where a high concentration of vehicles equipped with on board sensors is expected.A vehicle tracking system combines the installation of an electronic device in a vehicle, or fleet of vehicles, with purpose-designed computer software at least at one operational base to enable the owner or a third party to track the vehicle’s location, collecting data in the process from the field and deliver it to the base of operation.
The heart of this paper here is a LPG gas leakage sensor circuit that detects the outflow of LPG gas and the circuit is a gas sensor module SEN 1327. QM 6 gas sensor is used in the SEN 1327 module.