Earticle

초록

영어

Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control protocols have a significant impact on network lifetime, available energy and connectivity. In this paper we categorize sensor nodes as strong and weak nodes based on their residual energy as well as operational lifetime and propose a Maximizing Network lifetime Operator (MLTO) that defines cluster based topology control mechanism to enhance network lifetime while guarantying the minimum energy consumption and minimum delay. Extensive simulations in Java-Simulator (J-Sim) show that our proposed operator outperforms the existing protocols in terms of various performance metrics life network lifetime, average delay and minimizes energy utilization.

목차

Abstract
 1. Introduction
 2. Literature Surveys of Topology Control Protocols
  2.1. Geographic Adaptive Fidelity (GAF)
  2.2. Cluster Based Energy Conservation Protocol (CEC)
 3. Maximizing Network Lifetime Operator (MLTO)
  3.1. MLTO Cluster Formation
  3.2 Analysis of MLTO
 4. Simulations of MLTO
  4.1. Network Operational Lifetime
  4.2. Residual Node Energy
  4.3. Average Delay
  4.4. Trade-off between Network Connectivity and Residual Energy of the Nodes
 5. Conclusion
 References

키워드

저자

• Deepali Virmani [ Department of CSE BPIT, GGSIPU, Delhi, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605