Energy-Efficient Transmission Strategy by Using Optimal Stopping Approach for Mobile Networks

In mobile networks, transmission energy consumption dominates the major part of network energy consumption. To reduce energy consumption for data transmission is an important topic for constructing green mobile networks. According to Shannon formula, when the transmission power is constant, the better the channel quality is, the greater the transmission rate is. Then, more data will be delivered in a given period. And energy consumption per bit data transmitted will be reduced. Because channel quality varies with time randomly, it is a good opportunity for decreasing energy consumption to deliver data in the best channel quality. However, data has delay demand. The sending terminal cannot wait for the best channel quality unlimitedly. Actually, sending terminal has to select an optimal time to deliver data before data exceeds delay. For this, this paper obtains the optimal transmission rate threshold at each detection slot time by using optimal stopping approach. Then, sending terminal determines whether current time is the optimal time through comparing current transmission rate with the corresponding rate threshold, thus realizing energy-efficient transmission strategy, so as to decrease average energy consumption per bit data transmitted.

[1]  Philip Constantinou,et al.  Channel-Aware Opportunistic Transmission Scheduling for Energy-Efficient Wireless Links , 2013, IEEE Transactions on Vehicular Technology.

[2]  Ying Peng,et al.  An Optimization Strategy of Energy Consumption for Data Transmission Based on Optimal Stopping Theory in Mobile Networks , 2015, ICA3PP.

[3]  Hai Jiang,et al.  Optimal Traffic Scheduling Between Roadside Units in Vehicular Delay-Tolerant Networks , 2015, IEEE Transactions on Vehicular Technology.

[4]  Lutz H.-J. Lampe,et al.  Opportunistic Energy Efficient Cooperative Communication , 2012, IEEE Wireless Communications Letters.

[5]  Andres Garcia-Saavedra,et al.  Distributed Opportunistic Scheduling: A control theoretic approach , 2012, 2012 Proceedings IEEE INFOCOM.

[6]  Antonio Fernández Anta,et al.  Network energy consumption models and energy efficient algorithms , 2012 .

[7]  Lie-Liang Yang,et al.  Ieee Transactions on Communications, Accepted for Publication 1 Cross-layer Aided Energy-efficient Opportunistic Routing in Ad Hoc Networks , 2022 .

[8]  Chuang Lin,et al.  Green Network and Green Evaluation: Mechanism, Modeling and Evaluation: Green Network and Green Evaluation: Mechanism, Modeling and Evaluation , 2011 .

[9]  Hai Jiang,et al.  Optimal Traffic Scheduling in Vehicular Delay Tolerant Networks , 2012, IEEE Communications Letters.

[10]  Shanshan Wu,et al.  QoS-oriented distributed opportunistic scheduling for wireless networks with hybrid links , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[11]  Martin Herdegen.  Optimal Stopping and Applications Example 2 : American options , 2009 .

[12]  Vincenzo Mancuso,et al.  A Survey on Opportunistic Scheduling in Wireless Communications , 2013, IEEE Communications Surveys & Tutorials.

[13]  Andres Garcia-Saavedra,et al.  Energy-Efficient Optimization for Distributed Opportunistic Scheduling , 2014, IEEE Communications Letters.

[14]  Ca Van Phan,et al.  A game-theoretic framework for opportunistic transmission in wireless networks , 2014, 2014 IEEE Fifth International Conference on Communications and Electronics (ICCE).

[15]  Junshan Zhang,et al.  Distributed Opportunistic Scheduling for Ad Hoc Networks With Random Access: An Optimal Stopping Approach , 2009, IEEE Transactions on Information Theory.

[16]  Yao Min.  Green Network and Green Evaluation:Mechanism,Modeling and Evaluation , 2011 .

[17]  Ying Peng,et al.  An energy consumption minimization routing scheme based on rate adaptation with QoS guarantee for the mobile environment , 2014, Comput. Networks.

[18]  John S. Baras,et al.  Distributed Opportunistic Scheduling for Wireless Ad-Hoc Networks with Block-Fading Model , 2013, IEEE Journal on Selected Areas in Communications.