Efficient IOT Based Sensor Data Analysis in Wireless SensorNetworks with Cloud
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract: The improvement of wireless sensor network has offered move to public sensing as it is vibrantsharing model. This creative energy can be clarified under the Internet of Things (IoT) to adopt differentinformation sources inside shrewd urban areas, such as sensors on roads, buildings, radio frequency identifiertags (RFID), cell phones and living spots. Sensor system incorporated with enormous number of nodes whereevery nodes need to communicate with other node at whenever state of the link changes. Link state (LS) routingprotocol directly floods announcement of change in any join's status to each router in the network and DistantVector (DS) routing uses ceaseless appropriation of current guide of whole system's topology for all switches.However both DS and LS experience the ill effects of disconnection of link when the topology is in constant flow.Proposed system utilizes Greedy Perimeter Stateless Routing Algorithm (GPSR). GPSR algorithm comprises ofdual strategies in order to send packets: greedy forwarding at the point where it uses evidence around a router'snext nearest within network topology and perimeter routing- is used at the point when packet achieves a locale where greedy forwarding is unimaginable. Nodes in sensor network comprise of bulk of data from differentareas. Our proposed system uses cloud storage platform that is extremely helpful to perform data calculation.Advised system is about permitting clients to get data, information and knowledge from sensor data. AimedGPSR algorithm utilizes broad simulation of mobile remote network to contrast its execution and that of theDynamic Source Routing. Our aimed system exhibits simulation result by analyzing parameter such as packetdelivery ratio (PDR), energy consumption and delay.
Authors and Affiliations
Raghavendra L A , Dayananda Lal. N , Karthik D U
Keywords
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