Adaptive time slots control in wireless sensor networks for delay-aware applications

Wireless Sensor Networks (WSNs) have been proposed for various monitoring applications including environmental, industrial, military and health care. The use of WSNs with cluster-tree topologies for such applications solves the limited coverage issue of the wireless sensor devices and allows them to be deployed in wider area. WSNs with cluster-tree topologies suffer from various problems including accurate synchronization of beacons used in the beacon enabled mode in the IEEE 802.15.4 standard and providing Quality of Service (QoS) to delay-aware applications. In this paper, we present a Time Slot Control (TSC) scheme that can adaptively manage the allocation of time slots in the beacon enabled mode of operation to provide QoS grantees to delay critical traffic. Our proposed scheme can improve the end-to-end delay and throughput of selected traffic types by managing the time slots between sensor devices in an optimum way.

[1]  Carlo Fischione,et al.  A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4 , 2009, 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems.

[2]  Anis Koubaa,et al.  A Time Division Beacon Scheduling Mechanism for IEEE 802.15.4/Zigbee Cluster-Tree Wireless Sensor Networks , 2007, 19th Euromicro Conference on Real-Time Systems (ECRTS'07).

[3]  H. T. Mouftah,et al.  QoS-aware inter-cluster head scheduling in WSNs for high data rate smart grid applications , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[4]  Lucia Lo Bello,et al.  A multichannel approach to avoid beacon collisions in IEEE 802.15.4 cluster-tree industrial networks , 2009, 2009 IEEE Conference on Emerging Technologies & Factory Automation.

[5]  H. T. Mouftah,et al.  Tuning guaranteed time slots of IEEE 802.15.4 for transformer health monitoring in the smart grid , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Ryu Miura,et al.  A reliable and energy-efficient MAC protocol for cluster-tree wireless sensor networks , 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

[7]  Ka Lun Eddie Law,et al.  Lifetime Extending Heuristic for Clustered Wireless Sensor Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[8]  Gang Zhu,et al.  Association Schemes in a Wireless Sensor Network with a Cluster Tree Topology , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[9]  Rajesh Kumar,et al.  Optimal data aggregation tree in wireless sensor networks based on intelligent water drops algorithm , 2012, IET Wirel. Sens. Syst..

[10]  H. T. Mouftah,et al.  A Reliable IEEE 802.15.4 Model for Cyber Physical Power Grid Monitoring Systems , 2013, IEEE Transactions on Emerging Topics in Computing.

[11]  Sunghyun Choi,et al.  Priority-Based Delay Mitigation for , 2006 .

[12]  H. T. Mouftah,et al.  Priority- and Delay-Aware Medium Access for Wireless Sensor Networks in the Smart Grid , 2014, IEEE Systems Journal.

[13]  Gang Zhu,et al.  End-to-end delay and packet drop rate performance for a wireless sensor network with a cluster-tree topology , 2014, Wirel. Commun. Mob. Comput..

[14]  Sunghyun Choi,et al.  Priority-based delay mitigation for event-monitoring IEEE 802.15.4 LR-WPANs , 2006, IEEE Commun. Lett..

[15]  Ian F. Akyildiz,et al.  Cross-Layer Packet Size Optimization for Wireless Terrestrial, Underwater, and Underground Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.