Scheduled Collision Avoidance in wireless sensor network using Zigbee

Transmission reliability and energy consumptions are two critical concerns associated with wireless sensor network (WSN) design for a long time and continuous operation. With the increase in reliability of the transmission, the energy consumption increases by affecting the efficiency of the network. This paper proposes the Schedule based Collision Avoidance (SCA) algorithm for finding the tradeoff between reliability and energy efficiency by fusion of CSMA/CA and TDMA techniques in Zigbee/ IEEE802.15.4. It uses the multi-path data propagation for collision avoidance and effective utilization of the channel providing efficient energy consumption. It analyses different scheduling schemes to provide an appropriate solution for reducing collisions and improving network lifetime.

[1]  Emanuel Popovici,et al.  Energy-Efficient TDMA-Based MAC Protocol for Wireless Body Area Networks , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[2]  Ramjee Prasad,et al.  Cluster-based Myopic and Non-myopic scheduling for Wireless Sensor Network , 2014, Proceedings of the 2014 IEEE Students' Technology Symposium.

[3]  N. Devarajan,et al.  Energy Efficient Approach for Collision Avoidance in Wireless Sensor Networks , 2012 .

[4]  Yunhao Liu,et al.  Energy-Efficient Wake-Up Scheduling for Data Collection and Aggregation , 2010, IEEE Transactions on Parallel and Distributed Systems.

[5]  Bhaskar Biswas,et al.  Comparison of CSMA based MAC protocols of wireless sensor networks , 2012, ArXiv.

[6]  Ramjee Prasad,et al.  Two Tier Cluster based Data Aggregation (TTCDA) in Wireless Sensor Network , 2012, 2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS).

[7]  Andreas Czylwik,et al.  A collision-aware backoff mechanism for IEEE 802.15.4 wireless sensor networks , 2013, 2013 IFIP Wireless Days (WD).

[8]  Zdenek Hanzálek,et al.  Energy Efficient Scheduling for Cluster-Tree Wireless Sensor Networks With Time-Bounded Data Flows: Application to IEEE 802.15.4/ZigBee , 2010, IEEE Transactions on Industrial Informatics.

[9]  Giuseppe Anastasi,et al.  Reliability and energy efficiency in multi-hop IEEE 802.15.4/ZigBee Wireless Sensor Networks , 2010, The IEEE symposium on Computers and Communications.

[10]  Chiara Buratti,et al.  A mathematical model for performance analysis of IEEE 802.15.4 Non-Beacon Enabled Mode , 2008, 2008 14th European Wireless Conference.

[11]  Sajal K. Das,et al.  Reliability and Energy-Efficiency in IEEE 802.15.4/ZigBee Sensor Networks: An Adaptive and Cross-Layer Approach , 2011, IEEE Journal on Selected Areas in Communications.

[12]  Chi-Ming Wong.  A novel beacon frame scheduling algorithm based on cluster-tree IEEE 802.15.4 wireless sensor networks , 2012, 2012 IEEE International Conference on Communication Systems (ICCS).

[13]  Giuseppe Lipari,et al.  A Survey on Bandwidth Resource Allocation and Scheduling in Wireless Sensor Networks , 2009, 2009 International Conference on Network-Based Information Systems.

[14]  Kin K. Leung,et al.  TDMA scheduling for event-triggered data aggregation in irregular wireless sensor networks , 2011, Comput. Commun..