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A multi-hop angular routing protocol for wireless sensor networks

Author

Listed:
  • Mariam Akbar
  • Nadeem Javaid
  • Muhammad Imran
  • Areeba Rao
  • Muhammad Shahzad Younis
  • Iftikhar Azim Niaz

Abstract

In this article, we propose two new routing protocols for wireless sensor networks. First one is AM-DisCNT (angular multi-hop distance–based clustering network transmission) protocol which uses circular deployment of sensors (nodes) for uniform energy consumption in the network. The protocol operates in such a way that nodes with maximum residual energy are selected as cluster heads for each round. Second one is iAM-DisCNT (improved AM-DisCNT) protocol which exploits both mobile and static base stations for throughput maximization. Besides the proposition of routing protocols, iAM-DisCNT is provided with three mathematical models: two linear-programming-based models for information flow maximization and packet drop rate minimization and one model for calculating energy consumption of nodes. Graphical analysis for linear-programming-based mathematical formulation is also part of this work. Simulation results show that AM-DisCNT has 32% and iAM-DisCNT has 48% improved stability period as compared to LEACH (low-energy adaptive clustering hierarchy) and DEEC (distributed energy-efficient clustering) routing protocols. Similarly, throughput of AM-DisCNT and iAM-DisCNT is improved by 16% and 80%, respectively, in comparison with the counterpart schemes.

Suggested Citation

  • Mariam Akbar & Nadeem Javaid & Muhammad Imran & Areeba Rao & Muhammad Shahzad Younis & Iftikhar Azim Niaz, 2016. "A multi-hop angular routing protocol for wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 12(9), pages 15501477166, September.
  • Handle: RePEc:sae:intdis:v:12:y:2016:i:9:p:1550147716662945
    DOI: 10.1177/1550147716662945
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    References listed on IDEAS

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    1. Ning Sun & Youngbuk Cho & Sangho Lee, 2012. "Node Classification Based on Functionality in Energy-Efficient and Reliable Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 8(12), pages 937462-9374, December.
    2. Changlin Ma & Nian Liu & Yuan Ruan, 2013. "A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(11), pages 909243-9092, November.
    3. Behnam Behdani & J. Smith & Ye Xia, 2013. "The lifetime maximization problem in wireless sensor networks with a mobile sink: mixed-integer programming formulations and algorithms," IISE Transactions, Taylor & Francis Journals, vol. 45(10), pages 1094-1113.
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