Earticle

초록

영어

A Wireless Sensor Network (WSN) is a network of distributed sensors that can collect information from a physical environment. Low-cost sensors are the backbone of a WSN. Maximizing the lifetime of sensor networks is the main challenge of a Wireless Sensor Network (WSN), such as the sensor node of the network needs to be prepared with limited battery power. This paper focuses on finding the optimal sink position. Relay nodes have been introduced in conjunction with the sensor nodes to mitigate network geometric deficiencies since in most other approaches the sensor nodes close to the sink become heavily involved in data forwarding and, thus, their batteries are quickly depleted. A Biogeography-Based Optimization (BBO) algorithm is used to locate the optimal sink position with respect to those relay nodes to make the network more energy efficient. The relay nodes communicate with the sink instead of the sensor nodes. Tests show that this approach can save at least 40% of the energy and prolong the network lifetime.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Introduction to Biogeography-Based Optimization
  3.1. Standard Unconstrained BBO Algorithm
  3.2. Set of Neighbors’ of Node i
  3.3. Set of Neighbors of the Sink
  3.4. Calculation of Hop-Count
  3.5. Finding the Optimal Link
  3.6 Energy Consumption of Each Link
  3.7. Energy Consumption of Each Node
  3.8 Lifetime of node i
  3.9. Fitness Function
 4. Simulation of Results
 5. Conclusion
 References

키워드

저자

• Basim Abood [ National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan, China 430074 ]
• Yu Li [ National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan, China 430074 ]
• Nasseer Bacheche [ National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan, China 430074 ]
• Aliaa Hussien [ Baghdad University, College of Science, Department of astronomy. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605