Nt1310 Unit 3 Research Paper

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DATA COLLECTION BASED HYBRID COMPRESSIVE SENSING IN WIRELESS SENSOR NETWORKS
B.Malathi1, Ms.R.Saranya2
P.G scholor1 , Assistant professor2
P.S.R.Rengasamy College of engineering for women, Sivakasi (TN), India.
Malathi.ece44@gmailcom1,saranyar384@gmail.com2

Abstract- Hybrid compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load throughout networks. To maximize network lifetime in Wireless Sensor Networks (WSNs) the paths for data transfer are selected in such a way that the total energy consumed along the path is minimized. Hybrid CS method was proposed to reduce the number of transmissions in sensor networks. The Hybrid Compressive Sensing which uses a clustering method in wireless sensor networks. …show more content…

Many of these clustering algorithms are specifically designed with an objective of generating stable clusters in environments with mobile nodes. But in a typical wireless sensor network, the sensors’ locations are fixed and the instability of clusters due to mobility of sensors. Shortest Path Tree (SPT) is described as at the initial stage, calculate the distance between the sensor nodes and sink according to the strength of signal. After the cluster heads are selected, the cluster heads present to all sensor nodes in the network that they are the new cluster heads. Once the sensor nodes receive the advertisement, then they calculate the distance between the cluster head and themselves, then add the distance into the set of cluster heads distance H ,
H = {di − j | i, j are cluster …show more content…

Energy-aware routing algorithm forms energy-balanced clusters and distribute energy consumption equally. This algorithm has used from fuzzy neural network for clustering and section of cluster head nodes among other nodes. Energy consumption happens in three domains: sensing, data processing (including AD/DA and digital signal processing), and communications. The sensing, signal processing parts operate at low sequential and consume less than 1mW. This is over an order of extent less than the energy consumption of the communication part. Communication/data processing exchange between sensor nodes but more local processing implemented by one sensor node in order to enlarge the lifetime of the WSN. That energy efficient routing determination is more important than simple shortest path routing. Several strategies are prevalently employed for power aware routing in WSNs that Minimizing the energy consumed for each message

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