TY - GEN
T1 - EECR
T2 - 16th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2019
AU - Yao, Xin Wei
AU - Wu, Ye Chen Ge
AU - Yao, Yuan
AU - Qi, Chu Feng
AU - Huang, Wei
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Nanonetworks, which are composed of interacting nanonodes, have significant potential in many areas and applications. However, reliable communication is extremely challenging in electromagnetic (EM) nanonetworks as a result of limited transmission power, constrained nanonode capabilities, and severe path losses in terahertz band communications. In this paper, we propose a cooperative communication model for hierarchical cluster-based nanonetworks. In each cluster, there is a nano-controller that acts as a cluster head and several nanonodes that cooperatively forward packets to the nano-controller. Based on the cooperative communication model, an energy-efficient cooperative routing algorithm with optimal link cost is proposed for the nanonetworks. We first formulate the energy cost of cooperative communication between two nanonodes with a two-stage transmission strategy, as only statistical knowledge about the channel is currently available. Using the energy cost formulation, we can then establish cooperative communication transmission with optimal energy consumption. The results of the study show that the cooperative routing scheme can effectively reduce energy consumption compared to noncooperative routing schemes, thus showing great potential for use in cooperative communication schemes to enhance the performance of the nanonetwork.
AB - Nanonetworks, which are composed of interacting nanonodes, have significant potential in many areas and applications. However, reliable communication is extremely challenging in electromagnetic (EM) nanonetworks as a result of limited transmission power, constrained nanonode capabilities, and severe path losses in terahertz band communications. In this paper, we propose a cooperative communication model for hierarchical cluster-based nanonetworks. In each cluster, there is a nano-controller that acts as a cluster head and several nanonodes that cooperatively forward packets to the nano-controller. Based on the cooperative communication model, an energy-efficient cooperative routing algorithm with optimal link cost is proposed for the nanonetworks. We first formulate the energy cost of cooperative communication between two nanonodes with a two-stage transmission strategy, as only statistical knowledge about the channel is currently available. Using the energy cost formulation, we can then establish cooperative communication transmission with optimal energy consumption. The results of the study show that the cooperative routing scheme can effectively reduce energy consumption compared to noncooperative routing schemes, thus showing great potential for use in cooperative communication schemes to enhance the performance of the nanonetwork.
KW - Cooperative routing
KW - EM-based nanonetwork
KW - Energy-efficient routing
UR - http://www.scopus.com/inward/record.url?scp=85075575845&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30949-7_4
DO - 10.1007/978-3-030-30949-7_4
M3 - Conference contribution
AN - SCOPUS:85075575845
SN - 9783030309480
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 30
EP - 38
BT - Cooperative Design, Visualization, and Engineering - 16th International Conference, CDVE 2019, Proceedings
A2 - Luo, Yuhua
PB - Springer
Y2 - 6 October 2019 through 9 October 2019
ER -