Effective Routing Metric for Wireless Multi-hop Networks

Routing metric is a strategy aimed to identify the path with maximal throughput performance based on the evaluation of different routes. The assessment of routing paths in wireless multi-hop networks is complicated due to diverse link qualities as well as the coexistence of all kinds of interferences within one path. This work summarizes the most popular routing metric schemes used in wireless multi-hop networks, such as the Shortest Path metric, Expected Transmission Count, and Expected Transmission Time, and explains the limitations of these routing metrics. Preliminary extensive measurements on simulations are conducted to compare the performance of current routing metrics and serve as guidelines for the design of an effective routing metric. These preliminary results under simulations indicate that wireless interferences within one path are very crucial to affect the performance of one routing path. However, this interference factor is normally ignored by current routing metrics. Therefore, we propose a routing metric called Effective Routing Metric dubbed ERM. ERM directly diagnoses the interference within one path especially the intra-path interference when evaluating paths' performance and it gives preference to the path with less interference. At the same time, ERM calculates the transmission time more precisely by taking into account the overhead along with each data package transmission. To validate the effectiveness of the ERM metric, we have developed a Linux testbed to explore the performance of the ERM. The results based on simulation and real implementations prove that the routing metric ERM outperforms other routing metrics in case of locating the path that has higher throughput performance.

[1]  Srinivasan Keshav A control-theoretic approach to flow control , 1991, SIGCOMM 1991.

[2]  Bing Qi,et al.  iETT: A Quality Routing Metric for Multi-Rate Multi-Hop Networks , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[3]  Thierry Turletti,et al.  IEEE 802.11 rate adaptation: a practical approach , 2004, MSWiM '04.

[4]  Futai Zou,et al.  A Survey on Security in Wireless Mesh Networks , 2010 .

[5]  Fangyang Shen,et al.  Accurate Assessment of Link Loss Rate in Wireless Mesh Networks , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[6]  Leo Monteban,et al.  WaveLAN®-II: A high-performance wireless LAN for the unlicensed band , 1997, Bell Labs Technical Journal.

[7]  Daniel D. Stancil,et al.  Efficient simulation of Ricean fading within a packet simulator , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[8]  Daniel Aguayo Effects of Loss Rate on Ad Hoc Wireless Routing , 2002 .

[9]  Ming-Tuo Zhou,et al.  A Routing Protocol for WiMAX Based Maritime Wireless Mesh Networks , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[10]  Jangeun Jun,et al.  Theoretical maximum throughput of IEEE 802.11 and its applications , 2003, Second IEEE International Symposium on Network Computing and Applications, 2003. NCA 2003..

[11]  Alec Wolman,et al.  A multi-radio unification protocol for IEEE 802.11 wireless networks , 2004, First International Conference on Broadband Networks.

[12]  Edward W. Knightly,et al.  Opportunistic media access for multirate ad hoc networks , 2002, MobiCom '02.

[13]  Panganamala Ramana Kumar,et al.  A cautionary perspective on cross-layer design , 2005, IEEE Wireless Communications.

[14]  Paramvir Bahl,et al.  A rate-adaptive MAC protocol for multi-Hop wireless networks , 2001, MobiCom '01.

[15]  Roger Karrer,et al.  Enabling large-scale wireless broadband , 2004, Comput. Commun. Rev..

[16]  Baruch Awerbuch,et al.  The Medium Time Metric: High Throughput Route Selection in Multi-rate Ad Hoc Wireless Networks , 2006, Mob. Networks Appl..

[17]  Marco Conti,et al.  Cross-layering in mobile ad hoc network design , 2004, Computer.

[18]  Martin Heusse,et al.  Performance anomaly of 802.11b , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[19]  Ian F. Akyildiz,et al.  Wireless mesh networks: a survey , 2005, Comput. Networks.

[20]  Jitendra Padhye,et al.  Routing in multi-radio, multi-hop wireless mesh networks , 2004, MobiCom '04.

[21]  Vaduvur Bharghavan,et al.  Robust rate adaptation for 802.11 wireless networks , 2006, MobiCom '06.

[22]  Victor C. M. Leung,et al.  A rate adaptation algorithm for IEEE 802.11 WLANs based on MAC-layer loss differentiation , 2005, 2nd International Conference on Broadband Networks, 2005..