Mobility Aware Framework for Timeslotted Channel Hopping IEEE 802.15.4e Sensor Networks

Ubiquitous object networking has sparked the concept of the Internet of Things (IoT), which defines a new era in the world of networking. Realization of this concept needs to be addressed by standardization efforts that will shape the infrastructure of the networks. This has been achieved through the IEEE 802.15.4e, 6LoWPAN, and IPv6 standards. In addition, the IEEE 802.15.4e standard, which can be considered as the backbone of the IoT structure, has presented timeslotted channel hopping (TSCH). Although these standards provide a coherent and diffused system, several implications challenge these standards to achieve optimal performance and reliability. Node mobility can be considered as the delimited factor for realizing a fully connected network, especially with the inclusion of TSCH mode that will complicate the association process of the mobile nodes, as a result of the frequency hopping mechanism. In this paper, we investigate the impact of mobility over the TSCH sensor network, and a Markov chain model is presented to determine the parameters that affect mobile node association process. Second, we provide a proposed mobility-aware Mobile Timeslotted Channel Hopping (MTSCH) protocol that will facilitate the mobile nodes association and minimize the latency incurred by leaving the nodes dissociated from the network. TSCH and the proposed MTSCH techniques have been implemented and evaluated through Contiki OS. The proposed MTSCH manages to reduce the radio duty cycle of the mobile nodes by an average of 30% while increasing the connectivity of the nodes by 25%. Moreover, cluster heads managed to save energy by a ratio of 14%.

[1]  Adam Dunkels,et al.  Contiki - a lightweight and flexible operating system for tiny networked sensors , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[2]  Charles E. Perkins,et al.  Mobility support in IPv6 , 1996, MobiCom '96.

[3]  Giuseppe Anastasi,et al.  A Comprehensive Analysis of the MAC Unreliability Problem in IEEE 802.15.4 Wireless Sensor Networks , 2011, IEEE Transactions on Industrial Informatics.

[4]  Iftekhar Ahmad,et al.  A new algorithm to improve mobile sensor node connectivity based on link quality indicator , 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.

[5]  M. Auguin,et al.  Energy optimization for mobile nodes in a cluster tree IEEE 802.15.4/ZigBee network , 2012, 2012 Computing, Communications and Applications Conference.

[6]  Goo-Rak Kwon,et al.  Fast Association Scheme over IEEE 802.15.4 based Mobile Sensor Network , 2013, ICWMC 2013.

[7]  Gennaro Boggia,et al.  On Optimal Scheduling in Duty-Cycled Industrial IoT Applications Using IEEE802.15.4e TSCH , 2013, IEEE Sensors Journal.

[8]  Kevin Weekly,et al.  OpenWSN: a standards‐based low‐power wireless development environment , 2012, Trans. Emerg. Telecommun. Technol..

[9]  Gennaro Boggia,et al.  Traffic Aware Scheduling Algorithm for reliable low-power multi-hop IEEE 802.15.4e networks , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[10]  Peng Du,et al.  Adaptive time slotted channel hopping for wireless sensor networks , 2012, 2012 4th Computer Science and Electronic Engineering Conference (CEEC).

[11]  Xavier Vilajosana,et al.  Novel Routing Approach for the TSCH Mode of IEEE 802.15.14e in Wireless Sensor Networks with Mobile Nodes , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[12]  Diego Dujovne,et al.  6TiSCH: deterministic IP-enabled industrial internet (of things) , 2014, IEEE Communications Magazine.

[13]  Andrew H. Kemp,et al.  Mesh-under cluster-based routing protocol for IEEE 802.15.4 sensornetwork , 2014 .

[14]  Robert Assimiti,et al.  RPL applicability in industrial networks , 2013 .

[15]  Gabriel Montenegro,et al.  IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs): Overview, Assumptions, Problem Statement, and Goals , 2007, RFC.

[16]  Andrew H. Kemp,et al.  Overview of the IEEE 802.15.4 standards family for Low Rate Wireless Personal Area Networks , 2010, 2010 7th International Symposium on Wireless Communication Systems.

[17]  Basavaraj Patil,et al.  Proxy Mobile IPv6 , 2008, RFC.

[18]  Jürgen Falb,et al.  The Internet Protocol , 2005, The Industrial Information Technology Handbook.

[19]  Philip Levis,et al.  RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks , 2012, RFC.

[20]  Giuseppe Anastasi,et al.  A performance analysis of the network formation process in IEEE 802.15.4e TSCH wireless sensor/actuator networks , 2014, 2014 IEEE Symposium on Computers and Communications (ISCC).

[21]  Qin Wang,et al.  A Realistic Energy Consumption Model for TSCH Networks , 2014, IEEE Sensors Journal.

[22]  Carsten Bormann,et al.  6LoWPAN: The Wireless Embedded Internet , 2009 .

[23]  Ryuji Wakikawa,et al.  Network Mobility (NEMO) Basic Support Protocol , 2005, RFC.

[24]  Thomas Watteyne,et al.  Adaptive Synchronization in IEEE802.15.4e Networks , 2014, IEEE Transactions on Industrial Informatics.

[25]  T. Tsvetkov RPL : IPv 6 Routing Protocol for Low Power and Lossy Networks , 2010 .

[26]  Pranesh Sthapit,et al.  Coordinator assisted passive discovery for mobile end devices in IEEE 802.15.4 , 2013, 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC).

[27]  Mihaela van der Schaar,et al.  Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks , 2014, IEEE Journal on Selected Areas in Communications.

[28]  Marwan Al-Jemeli,et al.  An Energy Efficient Cross-Layer Network Operation Model for IEEE 802.15.4-Based Mobile Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[29]  Adam Dunkels,et al.  Cross-Level Sensor Network Simulation with COOJA , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[30]  Carsten Bormann,et al.  Problem Statement and Requirements for IPv6 over Low-Power Wireless Personal Area Network (6LoWPAN) Routing , 2012, RFC.

[31]  Adam Dunkels,et al.  Powertrace: Network-level Power Profiling for Low-power Wireless Networks , 2011 .

[32]  Xiaolin Lu,et al.  Comparison of IEEE 802.15.4e MAC features , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

[33]  Maria Rita Palattella,et al.  Using IEEE 802.15.4e Time-Slotted Channel Hopping (TSCH) in the Internet of Things (IoT): Problem Statement , 2015, RFC.

[34]  Gennaro Boggia,et al.  Standardized Protocol Stack for the Internet of (Important) Things , 2013, IEEE Communications Surveys & Tutorials.

[35]  Jenq-Shiou Leu,et al.  Adaptive weighted scheme for improving mobile sensor node connectivity in IEEE 802.15.4 networks , 2012, 2012 IEEE Network Operations and Management Symposium.