Survey on Faulty Node Detection and Recovery Algorithm for WSN

In Faulty Node Detection and Recovery Algorithm for WNS critical problems like fault tolerance created. Earlier fault tolerance mechanism consume significant extra energy to detect and recover from the failure or having additional hardware and software resources. .Lifetime of sensor node is enhanced because of using diffusion algorithm combined with the genetic algorithm. When some node get faulty in network then this algorithm is useful to avoid performance related data transfer. Wireless sensor networks are having tendency to fail of sensor, due to the energy depletion, failure of hardware’s, conditions of network environment. We sure that that type of algorithm used then result is replacements of sensor nodes and more reused routing paths. Time for data transfer is depend on active nodes that’s why we detect a routing path with faulty node. Power consumption is affect the hierarchy of active nodes that’s why data is not transferred surely. In this proposed algorithm reduces the rate of data loss by approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%. DOI: 10.17762/ijritcc2321-8169.150310

A Reduce Identical Composite Event Transmission Algorithm for Wireless Sensor Networks

Abstract: In this paper, a Reduce Identical Composite Event Transmission (RICET) algorithm is proposed to solve the problem of detecting composite events in wireless sensor networks. The RICET algorithm extends the traditional data aggregation algorithm to detect composite events, and this algorithm can eliminate redundant transmission and save power consumption, thereby extending the lifetime of the entire wireless sensor network. According to the experimental results, the proposed algorithm not only reduces power consumption by approximately 64.78% and 62.67%, but it also enhances the sensor node's lifetime by up to 8.97 times compared with some traditional algorithms

CPS-Net: In-Network Aggregation for Synchrophasor Applications

Abstract-Synchrophasors are sensors that sample power grids and publish these measurements over a network to a number of grid applications such as voltage monitoring, state estimation, visualization, etc. The sampled data is QoS sensitive and must be delivered reliably with minimal delays to the target applications. However, during network overloads or grid emergencies when the volume of data transmitted is high, it is important to gracefully degrade performance and data stream delivery in an applicationspecific manner. We propose CPS-Net, a flexible 3-layered network architecture that allows application-specified in-network aggregation of synchrophasor data streams during overload. The lowest layer provides basic path-specific QoS while the middle layer provides real-time wide-area publish-subscribe capabilities integrated with traffic engineering of data streams across multiple lower level paths and trees. The top layer provides a distributed stream processing infrastructure for application-specified aggregation functions. During network overload, the lower layer triggers the co-optimization of higher layers and application-specific aggregation of data is performed. The user is presented with a simple stream processing programming model and the details of the network, placement and composition of operators are abstracted away. Initial simulation results, using a voltage stability monitoring smart grid application, show that CPS-Net architecture can gracefully degrade data streams for synchrophasor applications