Joint optimization of carrier sensing threshold and transmission rate in wireless ad hoc networks

The ever-increasing demands of wireless traffic call for continuously growing the wireless network capacity or throughput. Carrier sensing threshold adaptation and transmission rate adaptation, two efficient mechanisms improving the capacity of ad hoc network, have attracted much attention in recent years. However, simply adopting either mechanism can hardly meet the expectation that optimizing the network capacity. In this paper, we investigate the joint optimization of carrier sensing threshold and transmission rate to improve the network capacity or throughput. The area capacity (throughput), which is defined as the network capacity (throughput) per unit area, is theoretically analyzed. Meanwhile, the relationship between carrier sensing threshold and transmission rate is theoretically revealed. Furthermore, the optimal area capacity is obtained by jointly optimizing the carrier sensing threshold and the transmission rate. Simulation results validate our analysis and derived results, and show that the throughput is significantly improved by the joint optimization.

[1]  Nitin H. Vaidya,et al.  A Spatial Backoff Algorithm Using the Joint Control of Carrier Sense Threshold and Transmission Rate , 2007, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[2]  Nihar Jindal,et al.  Improving the Performance of Wireless Ad Hoc Networks Through MAC Layer Design , 2011, IEEE Transactions on Wireless Communications.

[3]  Xinming Zhang,et al.  Coordinated dynamic physical carrier sensing based on local optimization in wireless ad hoc networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[4]  Kleber Vieira Cardoso,et al.  Increasing throughput in dense 802.11 networks by automatic rate adaptation improvement , 2012, Wirel. Networks.

[5]  Guoliang Xing,et al.  Unleashing exposed terminals in enterprise WLANs: A rate adaptation approach , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[6]  Jennifer C. Hou,et al.  Modeling of IEEE 802.11 based Multi-rate Wireless Ad Hoc Networks and Its Application towards Optimal Network Operation , 2007 .

[7]  Riku Jantti,et al.  Interference control in cognitive wireless networks by tuning the carrier sensing threshold , 2013 .

[8]  Hyuk Lim,et al.  Understanding and Improving the Spatial Reuse in Multihop Wireless Networks , 2008, IEEE Transactions on Mobile Computing.

[9]  Liam Murphy,et al.  A Survey of Adaptive Carrier Sensing Mechanisms for IEEE 802.11 Wireless Networks , 2014, IEEE Communications Surveys & Tutorials.

[10]  Yong Yang,et al.  Modeling the Effect of Transmit Power and Physical Carrier Sense in Multi-Hop Wireless Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[11]  Nitin H. Vaidya,et al.  Dynamic spatial backoff in fading environments , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[12]  H. T. Mouftah,et al.  Improving Spatial Reuse in Multihop Wireless Networks - A Survey , 2009, IEEE Communications Surveys & Tutorials.

[13]  Aaron Striegel,et al.  Re-Thinking 802.11 Rate Selection in the Face of Non-Altruistic Behavior , 2013, 2013 22nd International Conference on Computer Communication and Networks (ICCCN).

[14]  Xinming Zhang,et al.  Optimal physical carrier sensing to defend against exposed terminal problem in wireless ad hoc networks , 2014, 2014 23rd International Conference on Computer Communication and Networks (ICCCN).