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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(3): 421-426
HUANG Ru, HUANG Hao, CHEN Zhi-hua, HE Xing-yong. Autoregressive moving average model as a multi-agent routing protocol for wireless sensor networks[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(3): 421-426.
Citation: HUANG Ru, HUANG Hao, CHEN Zhi-hua, HE Xing-yong. Autoregressive moving average model as a multi-agent routing protocol for wireless sensor networks[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(3): 421-426.
shu

Autoregressive moving average model as a multi-agent routing protocol for wireless sensor networks

  • 1.

    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

  • 2.

    Department of Information Science and Engineering, Xinjiang University, Urumqi 830046, China

  • Received Date:2010-10-25
    Abstract
  • A prediction-aided routing algorithm based on ant colony optimization mode (PRACO) to achieve energy-aware data-gathering routing structure in wireless sensor networks (WSN) is presented. We adopt autoregressive moving average model (ARMA) to predict dynamic tendency in data traffic and deduce the construction of load factor, which can help to reveal the future energy status of sensor in WSN. By checking the load factor in heuristic factor and guided by novel pheromone updating rule, multi-agent, i.e., artificial ants, can adaptively foresee the local energy state of networks and the corresponding actions could be taken to enhance the energy efficiency in routing construction. Compared with some classic energy-saving routing schemes, the simulation results show that the proposed routing building scheme can ① effectively reinforce the robustness of routing structure by mining the temporal associability and introducing multi-agent optimization to balance the total energy cost for data transmission, ② minimize the total communication consumption, and ③ prolong the lifetime of networks.
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