4.6 Article

An Energy Efficient Stable Election-Based Routing Algorithm for Wireless Sensor Networks

Journal

SENSORS
Volume 13, Issue 11, Pages 14301-14320

Publisher

MDPI
DOI: 10.3390/s131114301

Keywords

wireless sensor networks; mobile sink; clustering; multi-hop; lifetime

Funding

  1. National Research Foundation of Korea (NRF)
  2. Korea government (MEST) [2011-0030823]
  3. National Natural Science Foundation of China [61173072, 61271240, 61070133, 61311140264]
  4. Natural Science Foundation of Jiangsu Province [BK2012461]
  5. MOTIE Korea [10041740]
  6. Nanjing University of Information Science and Technology [S8110246001]
  7. PAPD of Jiangsu Higher Education Institutions
  8. Korea Evaluation Institute of Industrial Technology (KEIT) [10041740] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  9. National Research Foundation of Korea [2011-0030079] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Sensor nodes usually have limited energy supply and they are impractical to recharge. How to balance traffic load in sensors in order to increase network lifetime is a very challenging research issue. Many clustering algorithms have been proposed recently for wireless sensor networks (WSNs). However, sensor networks with one fixed sink node often suffer from a hot spots problem since nodes near sinks have more traffic burden to forward during a multi-hop transmission process. The use of mobile sinks has been shown to be an effective technique to enhance network performance features such as latency, energy efficiency, network lifetime, etc. In this paper, a modified Stable Election Protocol (SEP), which employs a mobile sink, has been proposed for WSNs with non-uniform node distribution. The decision of selecting cluster heads by the sink is based on the minimization of the associated additional energy and residual energy at each node. Besides, the cluster head selects the shortest path to reach the sink between the direct approach and the indirect approach with the use of the nearest cluster head. Simulation results demonstrate that our algorithm has better performance than traditional routing algorithms, such as LEACH and SEP.

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