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Comparative analysis of energy efficient routing in WBAN

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

Abstract

In this paper, we have discussed various routing techniques of wireless body area network (WBAN), its challenges and comparison has been done based on various parameters. Due to advancement in wireless technology miniature sensor nodes with low power, lightweight, invasive or non-invasive are placed in, on or around the human body to monitor the health condition. Routing protocols plays an important role to improve the overall performance of network in terms of delay, throughput, network lifetime etc. and to improve the quality of services (QoS) in WBAN. Network lifetime and successfully transmission of data to the sink node are two main factors to design a routing protocol. Routing in WBAN is classified as QoS based, temperature aware, clusters based routing, postural based, cross layer network based routing etc. These categories are further divided into various protocols. This paper provides a review of some of the existing routing protocols of WBAN by describing their techniques, advantages and disadvantages. Also, the comparison of ATTEMPT (Adaptive Threshold based Thermal unaware Energy-efficient Multi-hop Protocol), SIMPLE (Stable Increased-Throughput Multihop Protocol for Link Efficiency) and EERDT (Energy Efficient and Reliable Data Transfer) protocol has been done by simulating in MATLAB.

Original languageEnglish
Title of host publication3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509062188
DOIs
Publication statusPublished - 12-07-2017
Event3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017 - Ghaziabad, India
Duration: 09-02-201710-02-2017

Publication series

Name3rd IEEE International Conference on

Conference

Conference3rd IEEE International Conference on "Computational Intelligence and Communication Technology", CICT 2017
Country/TerritoryIndia
CityGhaziabad
Period09-02-1710-02-17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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