Mobile Networks and Applications

, Volume 24, Issue 1, pp 234–247 | Cite as

Enhanced Energy in Sensors by Avoiding Voids and Saving Sensitive Data on Cloud Using B+ Tree Index with Retrieval of Query Predicates

  • Geetha S.Email author
  • Deepalakshmi P.


The tour of sensor is astounding. Researchers are recognizing the problems of storing sensors on cloud and preserved in a remarkable way. Applications of Wireless Sensor Networks are diverse with skills. These diverse technology applications can be supported with efficient use of sensors. Sensors are defined as small hardware devices utilized in different applications. But the major issue with sensor is degradation in battery. A sensor, which is not promulgating the packets, is identified as void. In a network, voids are highly utilizing the energy and this leads to poor performance. Avoiding void sensors along a path from source to destination will improve the energy efficiency. In this paper, a void avoidance mechanism is used which excludes void nodes. The foremost idea of the void avoidance algorithm is, to increase the energy of the sensor node and building secured data on cloud. On cloud, B + tree index structure maintains the sensor data key values as a strongest. Further, receiving of data happened with Query Predicates weight matching with Index. Furthermore, our paper advocates that the problems of adding void repaired sensors to the network.


Wireless sensor networks (WSN) Agglo clustering algorithm Void detection algorithm (VDA) Void avoidance algorithm (VAA) Data to cloud using B + tree index (DB+) Receiving from cloud using query predicates (RQP) Void repaired nodes (VRN) 



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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.ISE, CMRITVTUBangaloreIndia
  2. 2.CSEKalasalingam Academy of Research and EducationKrishnankoilIndia

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