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Analytical Model for Energy Management in Wireless Sensor Networks

Li, Hailong
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367936881

Abstract Details

2013, PhD, University of Cincinnati, Engineering and Applied Science: Computer Science and Engineering.
Wireless sensor networks (WSNs) are one type of ad hoc networks with data-collecting function. Because of the low-power, low-cost features, WSN attracts much attention from both academia and industry. However, since WSN is driven by batteries and the multi-hop transmission pattern introduces energy hole problem, energy management of WSN became one of fundamental issues. In this dissertation, we study the energy management strategies for WSNs. Firstly, we propose a packets propagation scheme for both deterministic and random deployment of WSNs so to prolong their lifetime. The essence of packets propagation scheme is to control transmission power so as to balance the energy consumption for the entire WSN. Secondly, a characteristic correlation based data aggregation approach is presented. Redundant information during data collection can be effectively mitigated so as to reduce the packets transmission in the WSN. Lifetime of WSN is increased with limited overhead. Thirdly, we also provide a two-tier lifetime optimization strategy for wireless visual sensor network (VSN). By deploying redundant cheaper relay nodes into existing VSN, the lifetime of VSN is maximized with minimal cost. Fourthly, our two-tier visual sensor network deployment is further extended considering multiple base stations and image compression technique. Last but not the least, description of UC AirNet WSN project is presented. At the end, we also consider future research topics on energy management schemes for WSN.
Dharma Agrawal, D.Sc. (Committee Chair)
Kenneth Berman, Ph.D. (Committee Member)
Yizong Cheng, Ph.D. (Committee Member)
Chia Han, Ph.D. (Committee Member)
Wen Ben Jone, Ph.D. (Committee Member)
146 p.
Computer Engineering
Wireless Sensor Networks; Wireless Visual Sensor Network; Energy Management; Data Aggregation; Gaussian Random Distribution; Lifetime Optimization;

Recommended Citations

Citations

  • Li, H. (2013). Analytical Model for Energy Management in Wireless Sensor Networks [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367936881

    APA Style (7th edition)

  • Li, Hailong. Analytical Model for Energy Management in Wireless Sensor Networks. 2013. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367936881.

    MLA Style (8th edition)

  • Li, Hailong. "Analytical Model for Energy Management in Wireless Sensor Networks." Doctoral dissertation, University of Cincinnati, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367936881

    Chicago Manual of Style (17th edition)

ucin1367936881
627
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This open access ETD is published by University of Cincinnati and OhioLINK.