Multi-channel Collection Tree Protocol for Wireless Sensor Networks

Interference is one of the major factors influencing system performance of Wireless Sensor Networks (WSNs). This issue needs a serious attention, since WSNs are typically operating on the shared and unlicensed spectrum band. In other words, interference may not be controllable especially under the coexistence of devices operating with different standards within the same area. Collection Tree Protocol (CTP) is a routing protocol that is able to support large scale WSNs. With its ability, low level interference can be overcome by the routing process. This paper proposed an adaptation of CTP, so called multi-channel CTP, which provides higher system tolerance to the interference by allowing the multiple channel usage on top of the routing ability. The proposed system is evaluated via system level simulation and the results show the system performance enhancement under severe interference scenario in comparison with the traditional CTP.

[1]  Gang Zhou,et al.  BodyQoS: Adaptive and Radio-Agnostic QoS for Body Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[2]  Chang Yong Jung,et al.  Interference mediation for coexistence of WLAN and ZigBee networks , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  A. Sikora,et al.  Coexistence of IEEE802.15.4 with other Systems in the 2.4 GHz-ISM-Band , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[4]  Jong-Hoon Youn,et al.  Adaptive radio channel allocation for supporting coexistence of 802.15.4 and 802.11b , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[5]  Dong Yang,et al.  Coexistence of IEEE802.15.4 based networks: A survey , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[6]  Weiren Shi,et al.  Comparison of OMNET++ and other simulator for WSN simulation , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[7]  Jo Woon Chong,et al.  Adaptive Interference-Aware Multi-Channel Clustering Algorithm in a ZigBee Network in the Presence of WLAN Interference , 2007, 2007 2nd International Symposium on Wireless Pervasive Computing.

[8]  Athanassios Boulis,et al.  Performance and scalability evaluation of the Castalia wireless sensor network simulator , 2010, SimuTools.

[9]  Ugo Maria Colesanti.  The Collection Tree Protocol for the Castalia Wireless Sensor Networks Simulator , 2011 .

[10]  Jilong Li,et al.  A Channel Switching Scheme for Avoiding Interference of between IEEE 802.15.4 and Other Networks , 2008, 2008 International Multi-symposiums on Computer and Computational Sciences.

[11]  Adib Rastegarnia,et al.  Performance evaluation of Castalia Wireless Sensor Network simulator , 2011, 2011 34th International Conference on Telecommunications and Signal Processing (TSP).

[12]  Andreas Terzis,et al.  Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks , 2007, Int. J. Sens. Networks.

[13]  Janne Riihijärvi,et al.  Interference Measurements on Performance Degradation between Colocated IEEE 802.11g/n and IEEE 802.15.4 Networks , 2007, Sixth International Conference on Networking (ICN'07).