ZHANG Feng, WANG Xiaoming, JIANG Liping, ZHANG Lichen. Energy Efficient Forwarding Algorithm in Opportunistic Networks[J]. Chinese Journal of Electronics, 2016, 25(5): 957-964. doi: 10.1049/cje.2016.08.035
Citation: ZHANG Feng, WANG Xiaoming, JIANG Liping, ZHANG Lichen. Energy Efficient Forwarding Algorithm in Opportunistic Networks[J]. Chinese Journal of Electronics, 2016, 25(5): 957-964. doi: 10.1049/cje.2016.08.035

Energy Efficient Forwarding Algorithm in Opportunistic Networks

doi: 10.1049/cje.2016.08.035
Funds:  This work is supported by the National Natural Science Foundation of China (No.61373083, No. 61402273), the Fundamental Research Funds for the Central Universities of China (No.GK201401002, No.GK201603115), the Program of Shaanxi Science and Technology Innovation Team of China (No.2014KTC-18), and the 111 Programme of Introducing Talents of Discipline to Universities (No.B16031).
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  • Corresponding author: WANG Xiaoming (corresponding author) was born in 1964, he received the Ph.D. degree in computer science from Northwest University, Xi'an, China, in 2005. He is currently a professor and Ph.D. supervisor in Shaanxi Normal University, Xi'an, China. His main research interests include wireless sensor networks and opportunistic networks. (Email:wangxm@snnu.edu.cn)
  • Received Date: 2015-06-01
  • Rev Recd Date: 2016-02-15
  • Publish Date: 2016-09-10
  • In opportunistic networks, a successful message transmission between node pairs depends on the message size, the transmission speed and the connection duration time. This paper proposes a new message forwarding algorithm to improve the message delivery ratio and reduce the energy consumption. Previous encounter characteristics between nodes are used to estimate future connection duration time using a three point estimation method. Furthermore, the buffer utilization of nodes is used as a weight for the likelihoods to meet destinations according to the hop count of messages stored in the buffer. The simulation results show that the proposed forwarding algorithm achieves higher delivery ratio and less overhead ratio than the other four popular routing protocols. In addition, the proposed algorithm gains a better average residual energy performance among all the compared protocols.
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