An efficient MAC scheme in wireless sensor network with energy harvesting (EHWSN) for cloud based applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

Wireless sensor networks (WSNs) are utilized in various applications and are providing the backbone for the new pervasive Internet, or Internet of Things (IoT). Researchers are working on merging other emerging technologies and services such as cloud computing and Big data with IoT to design and build smart cities. Energy consumption is one the important constraint in the design of WSN based system. The sensor nodes typically rely on power sources like batteries which also makes it bulky. Recent advances in ambient energy harvesting technology have made it a potential alternative energy source for WSNs. However, this energy is not available continuously at the desired level and therefore the node need to utilize the sporadic availability of energy to sense and transmit the data efficiently and as quickly as possible. Energy Harvesting-based WSNs (EHWSNs) are the result of granting nodes the capability to extract energy from ambient sources. Due to limited power, it is imperative to optimize every aspect of the WSN including communication protocols. The heart of all this optimization is the medium access control (MAC) layer. In this paper, we study the performance of different MAC schemes for WSNs. Later we proposed a new scheme for better utilization of EHWSN in certain application and provide simulation and experimental results. The cloud services provide the resources to process the information from hundreds of regional IoT systems at a higher level.

Original languageEnglish
Title of host publicationProceedings of the 40th Annual IEEE Conference on Local Computer Networks, LCN 2015
EditorsSalil Kanhere, Soumaya Cherkaoui, Jens Tolle
PublisherIEEE Computer Society
Pages783-788
Number of pages6
ISBN (Electronic)9781467367738
DOIs
StatePublished - 24 Dec 2015

Publication series

NameProceedings - Conference on Local Computer Networks, LCN
Volume2015-December

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Big data
  • Cloud application
  • Energy harvesting
  • Internet of things
  • MAC protocol
  • Smart cities
  • Wireless sensor network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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