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Journal of Sensors
Volume 2017, Article ID 4281597, 16 pages
https://doi.org/10.1155/2017/4281597
Research Article

Balanced Transmissions Based Trajectories of Mobile Sink in Homogeneous Wireless Sensor Networks

1COMSATS Institute of Information Technology, Islamabad, Pakistan
2Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
3Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Correspondence should be addressed to Nadeem Javaid; moc.liamg@uaqdiavajmeedan

Received 7 August 2016; Revised 21 December 2016; Accepted 18 January 2017; Published 20 February 2017

Academic Editor: Chao Wang

Copyright © 2017 Mariam Akbar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Aasma Khan, Nadeem Javaid, Arshad Sher, Raza Abid Abbasi, Zeeshan Ahmad, and Waseem Ahmed, “Load Balancing and Collision Avoidance Using Opportunistic Routing in Wireless Sensor Networks,” 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), pp. 236–243, . View at Publisher · View at Google Scholar
  • Niayesh Gharaei, Kamalrulnizam Abu Bakar, Siti Zaiton Mohd Hashim, Ali Hosseingholi Pourasl, and Suhail Ashfaq Butt, “Collaborative Mobile Sink Sojourn Time Optimization Scheme for Cluster-Based Wireless Sensor Networks,” IEEE Sensors Journal, vol. 18, no. 16, pp. 6669–6676, 2018. View at Publisher · View at Google Scholar
  • Niayesh Gharaei, Kamalrulnizam Abu bakar, Siti Zaiton Mohd Hashim, and Ali Hosseingholi Pourasl, “Inter- and Intra-Cluster Movement of Mobile Sink Algorithms for Cluster-based Networks to Enhance the Network Lifetime,” Ad Hoc Networks, 2018. View at Publisher · View at Google Scholar
  • Santosh Soni, and Manish Shrivastava, “Novel Learning Algorithms for Efficient Mobile Sink Data Collection Using Reinforcement Learning in Wireless Sensor Network,” Wireless Communications and Mobile Computing, vol. 2018, 2018. View at Publisher · View at Google Scholar
  • Sunil Kumar Singh, and Prabhat Kumar, “A comprehensive survey on trajectory schemes for data collection using mobile elements in WSNs,” Journal of Ambient Intelligence and Humanized Computing, 2019. View at Publisher · View at Google Scholar
  • Niayesh Gharaei, Sharaf Jameel Malebary, Kamalrulnizam Abu Bakar, Siti Zaiton Mohd Hashim, Suhail Ashfaq Butt, and Gul Sahar, “Energy-Efficient Mobile-Sink Sojourn Location Optimization Scheme for Consumer Home Networks,” IEEE Access, vol. 7, pp. 112079–112086, 2019. View at Publisher · View at Google Scholar