ZONG Zhengxue, DING Enjie, LIU Yan, ZHANG Bingxin, ZHAO Duan. Relay selection in wireless cooperative networks based on energy collection technology[J]. Journal of Mine Automation, 2020, 46(3): 49-54. DOI: 10.13272/j.issn.1671-251x.17514
Citation: ZONG Zhengxue, DING Enjie, LIU Yan, ZHANG Bingxin, ZHAO Duan. Relay selection in wireless cooperative networks based on energy collection technology[J]. Journal of Mine Automation, 2020, 46(3): 49-54. DOI: 10.13272/j.issn.1671-251x.17514

Relay selection in wireless cooperative networks based on energy collection technology

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  • In view of problem that available energy collected by current energy collection technologies is limited which leads to energy shortboards at relay nodes in wireless cooperative networks, in order to avoid paralysis of the entire network due to large number of deaths of relay nodes, a relay selection scheme in wireless cooperative networks based on energy collection technology, namely a relay selection scheme for combined maximum energy and maximum data transmission link was proposed. First, based on energy collection status of the nodes, the node with the highest energy in each hop is selected for decoding and forwarding; then, based on link transmission status of each two consecutive hops, the relay node is selected which can optimize the data transmission channel between the source node and the destination node. Combined with Nakagami-m channel fading model, the proposed scheme is compared with the random selection scheme, MaDs scheme and BNBF scheme. The results show that under the premise that the collected energy is sufficient for energy collection and data transmission in the next time slot, the smaller the proportion of energy collection used, the smaller the probability of network interruption; the relay selection scheme that joints maximum energy and maximum data transmission link is superior to other schemes in terms of network interruption performance, its interruption probability decreases as the signal-to-noise ratio increases, especially when the average signal-to-noise ratio is 38 dB, the network interruption probability drops to 10-5.
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