Title page for etd-0724109-053219


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URN etd-0724109-053219
Author Yan-lin Lin
Author's Email Address m963040057@student.nsysu.edu.tw
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Department Computer Science and Engineering
Year 2008
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title An Adjustable Load Balancing Cluster-based Routing for Wireless Sensor Networks
Date of Defense 2009-07-16
Page Count 65
Keyword
  • BCDCP
  • Wireless Sensor Networks
  • Routing Protocol
  • LEACH
  • Abstract Wireless sensor networks consist of hundreds to thousands of low-power multifunctioning sensor nodes, operating in an unattended environment, with limited computational and sensing capabilities. Since the sensor nodes are equipped with small, often irreplaceable, batteries with limited power capacity, it is essential that the network be energy efficient in order to maximize the life span of the network.
    Hierarchical routing is an efficient way to lower energy consumption within a cluster, performing data aggregation and fusion.Within a clustering organization, intra-cluster communication can be single hop or multihop, as well as inter-cluster communication. Multihop communication between a data source and a data sink is usually more energy efficient than direct transmission because of the characteristics of wireless channel. However, the hot-spots problem arises when using the multihop forwarding model in inter-cluster communication. Because the cluster heads closer to the data sink are burdened with heavy relay traffic, they will die much faster than the other cluster heads.
    This paper presents an cluster-based routing protocol named An Adjustable Load Balancing Cluster-based Routing for Wireless Sensor Networks(ALBAC).The aim of the work is to let the cluster size be small nearby base station because cluster heads closer to the base station need relay more data.We wnat to let every cluster heads consume same energy. Simulation results show that our unequal clustering mechanism clearly improves the network lifetime over LEACH and BCDCP.
    Advisory Committee
  • Chung-Ming Huang - chair
  • Chun-Hsin Wu - co-chair
  • Wen-Shyong Hsieh - co-chair
  • Rung-Hung Gau - co-chair
  • Wei-Kuang Lai - advisor
  • Files
  • etd-0724109-053219.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2009-07-24

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