The Gamification in Education, Healthcare, and Industry

Author:

Baby Maruthi Puvvadi1ORCID

Affiliation:

1. Sri Venkateswara College of Engineering, Tirupathi, India

Abstract

Wireless sensor networks (WSN) consist of large numbers of sensor nodes, which are limited in battery power and communication range and have multi-modal sensing capabilities. In this chapter, energy-efficient data aggregation technique is proposed to improve the lifetime of the sensor. Here, the author has used three layer architecture by deploying mobile element/node, which can periodically visit cluster heads (CHs) at which first level data aggregation has been applied to eliminate redundancy. After collecting data from all CHs, mobile element itself will perform second level of data aggregation to eliminate further redundancy. After collecting data from CHs, mobile element will move towards base station/sink and transmits data to base station/sink in order to save energy of entire network. Here, the author has made an attempt to prove that in WSN during data gathering if mobile elements are used to collect the aggregated data from CHs, energy consumption of the entire network will be reduced. The proposed data aggregation with mobile node helps in improving the lifetime of the WSN.

Publisher

IGI Global

Reference39 articles.

1. Rossmann, J., & Sommer, B. (2008). The Virtual Testbed: Latest Virtual Reality Technologies for Space Robotic Applications. CDROM-Proceedings of 9th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2008).

2. Projective virtual reality: bridging the gap between virtual reality and robotics

3. The single tree-based stand simulator SILVA: construction, application and evaluation

4. Wokke, F. J. P., & Pronk, Z. (2000) Mission Validation and Training Facility for the European Robotic Arm (ERA). Proceedings of SESP 2000, 6th International Workshop on Simulation for European Space Programmes. https://www.accenture.com/gb-en/blogs/blogs-long-time-no-speak

5. A taxonomy of mixed reality visual displays.;P.Milgram;IEICE Transactions on Information and Systems,1994

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