Performance of motes in Wireless Sensor Networks

Gauri Kalnoor, Jayashree Agarkhed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The network of nodes with sensing technology and wireless capability is termed as Wireless Sensor Network (WSN). WSN has high potential to adapt to the changes of how we live. Its budding technology makes the motes communicate with each other efficiently. The sensor nodes in WSN are referred as motes and they form the main building blocks for creating a network. The motes need to work efficiently and thus we present performance metrics that includes power consumption, size, cost, memory management, mote sensitivity, and OS for motes configuration. Certain challenges and constraints are designed for each mote in terms of low cost, limited communicational capabilities and low energy requirements. Many applications of WSN use different types of motes such as TinyNode, IRIS and Sun SPOT which can improve the performance of the network.

Original languageEnglish
Title of host publicationProceedings of the 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016
EditorsS.K. Niranjan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages445-450
Number of pages6
ISBN (Electronic)9781509023981
DOIs
Publication statusPublished - 25-04-2017
Event2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016 - Bengaluru, Karnataka, India
Duration: 21-07-201623-07-2016

Publication series

NameProceedings of the 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016

Conference

Conference2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016
Country/TerritoryIndia
CityBengaluru, Karnataka
Period21-07-1623-07-16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Software

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