​​August 2021, Vol. 6, No. 8, pp. 141-146. 

​​​Proficient performance and data collection improvement in wireless sensors network over MAC protocol

E. Aishwarya
Department of Electronics and Communication Engineering, JJ College of Engineering and Technology, Trichy. Tamilnadu, India.

​​​*Corresponding author’s e-mail:laksh.aishwarya@gmail.com

​Abstract

​The infrastructure of wireless sensor networks (WSN) is structured in an ad-hoc manner and arranged nodes reporting the events to the bottom Station (BS). A WSN is integrated with smart technologies to develop fast Internet of Things (IoT) communications among different applications. Recently, many researchers proposed their solutions to optimize IoT data transmissions in an energy efficient manner with cost effective support. The proposed framework is composed of two sub-components. The proposed protocol effects in higher dispensed sensors and a properly-balanced clustering gadget improving the community’s lifetime. The Modified Energy Aware Routing (MEAR) method carries two protocols, which include MCP based totally Efficient MAC primarily based EAR. In segment, Transmission range adjusting by the initializing the utmost Capacity Path based multi hop routing by using imposing Energy Aware Routing. For the EAR implementation, want to calculate the nodes Initial Energy, Residual Energy and Optimum power path. The simulation results demonstrate notable improvement in comparison to existing solutions in terms of various network metrics.

Keywords: Wireless sensor network; Internet of things; Modified energy aware routing; Efficient medium access control.

​References

  1. Boubiche S, Boubiche DE, Bilami A, Toral-Cruz H. Big data challenges and data aggregation strategies in wireless sensor networks. IEEE Access 2018;6:20558-71.
  2. De Bonis A, Vaccaro U. A new kind of selectors and their applications to multiple-access communication. Theoretical Computer Science 2020;806:219-35.
  3. Aksoylar C, Atia GK, Saligrama V. Sparse signal processing with linear and nonlinear observations: A unified Shannon-theoretic approach. IEEE Trans Inf Theory 2017;63:749-76.
  4. Liu C-J, Huang P, Xiao L. TAS-MAC: A traffic-adaptive synchronous MAC protocol for wireless sensor networks.  2013 IEEE International Conference on Sensing, Communications and Networking (SECON). 24-27 June 2013. New Orleans, LA, USA.
  5. Wu S, Wei S, Wang Y, Vaidyanathan R, Yuan J. Partition information and its transmission overboolean multi-access channels.  IEEE Trans Inf Theory 2015;61:1010-27.
  6. Malloy ML, Nowak RD. Near-optimal adaptive compressed sensing. IEEE Trans Inf Theory 2014;60:4001-12.
  7. Tan VYF, Atia GK. Strong impossibility results for sparse signal processing. IEEE Signal Process Lett 2014;21260-4.
  8. Lam Chan C, Jaggi S, Saligrama V, Agnihotri S. Non-adaptive group testing: Explicit bounds and novel algorithms. IEEE Trans Inf Theory 2014;60:3019-35.
  9. Huang P, Xiao L, Soltani S, Mutka MW, Xi N. The evolution of MAC protocols in wireless sensor networks: A survey. IEEE Commun. Surveys Tuts 2013;15:101-20.
  10. Atia GK, Saligrama V, Boolean compressed sensing and noisy group testing. IEEE Trans Inf Theory 2012;58:1880-901.
  11. Sailaja D, Benakop PG. Energy   efficient  MAC  Protocol with wakeup radio for wireless sensors network. 2020 International Conference on Inventive Computation Technologies (ICICT). 26-28 Feb. 2020. Coimbatore, India.

ISSN 2456-0235

INDEXED IN 

International Journal of Modern Science and Technology