scholarly journals Optimizing IoT Energy Efficiency on Edge (EEE): a Cross-layer Design in a Cognitive Mesh Network

Author(s):  
Jianqing Liu ◽  
Yawei Pang ◽  
Haichuan Ding ◽  
Ying Cai ◽  
Haixia Zhang ◽  
...  
2013 ◽  
Vol 347-350 ◽  
pp. 2001-2006
Author(s):  
Guo An Zhang ◽  
Yun Yang ◽  
Yan Cheng Ji

Spectrum sharing technologies can achieve the maximum usage of spectrum resources flexibly and high-efficiently, which relieves the current spectrum crunch situation availably. In a multi-hop cognitive wireless mesh network scenario coexisting with a TDMA/FDMA cellular network, an effective scheme of cross-layer design between link-layer spectrum decision and network-layer routing is proposed, on the basis of the combination of spectrum underlay and spectrum overlay. Simulation results verify that the scheme outperforms distinctly the shortest path based random spectrum decision algorithm on network end-to-end performance.


2013 ◽  
Vol 321-324 ◽  
pp. 2849-2854
Author(s):  
Chang Song Xiang ◽  
Geng Li ◽  
Qi Xu Li ◽  
Jin Jan Zhao

Energy efficiency is a major concern for mesh nodes with limited power supply. So STDMA(spatial time division multiple access) is applied to reduce node’s power consumption in mesh networks. However, the energy cost was still high for solar panel applying with STDMA, due to the fixed slots and numerous start times of nodes. A VF-STDMA(variable frame in STDMA) is proposed based on STDMA protocol. The VF-STDMA dynamically changes the frame size and assigns timeslots to each link according to the network data flows. The start times are reduced by recombining slots. Finally, the optimum routing is obtained through a cross-layer mechanism covering physical layer, MAC layer and network layer. The results show that the algorithms improve energy efficiency as well as decrease energy consumption of solar panel.


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