Multi-channel Distributed MAC protocol for WSN-based wildlife monitoring

Several wild animal species are endangered by poaching. As a solution, deploying wireless sensors on animals able to send regular messages and also alert messages has been envisaged recently by several authorities and foundations. In that context, this paper proposes WildMAC, a multichannel, multihop wireless communication protocol for these specific wireless sensor networks that have to collect data from unknown large areas with different QoS requirements. WildMAC is a TDMA based MAC protocol that leverages long range communication properties to propose an efficient data collection mean. Its performance evaluation shows it meets QoS requirements.

[1]  Keqin Li,et al.  Cooperative Routing in Multi-Radio Multi-Hop Wireless Network , 2017 .

[2]  Thomas Watteyne,et al.  Orchestra: Robust Mesh Networks Through Autonomously Scheduled TSCH , 2015, SenSys.

[3]  Sofiane Hamrioui,et al.  Analytical and Experimental study for LoRa Modulation , 2018 .

[4]  Nathalie Mitton,et al.  Performance evaluation of LoRa radio solution for PREDNET wildlife animal tracking project , 2016 .

[5]  Sivan Toledo,et al.  Lessons and Experiences from the Design, Implementation, and Deployment of a Wildlife Tracking System , 2016, 2016 IEEE International Conference on Software Science, Technology and Engineering (SWSTE).

[6]  Guillermo del Campo,et al.  Poster: Improving Manufacturing Processes using Open-IoT BatNet Technology , 2017, EWSN.

[7]  Olaf Landsiedel,et al.  Let the tree Bloom: scalable opportunistic routing with ORPL , 2013, SenSys '13.

[8]  Lothar Thiele,et al.  Efficient network flooding and time synchronization with Glossy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[9]  L. A. Grieco,et al.  Performance analysis of the RPL Routing Protocol , 2011, 2011 IEEE International Conference on Mechatronics.

[10]  P. Bahl,et al.  SSCH: slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks , 2004, MobiCom '04.

[11]  Konstantin Mikhaylov,et al.  Analysis of Capacity and Scalability of the LoRa Low Power Wide Area Network Technology , 2016 .

[12]  Philipp Sommer,et al.  Delay-Tolerant Networking for Long-Term Animal Tracking , 2015, IEEE Internet Computing.

[13]  B. Godley,et al.  Satellite Tracking and Analysis Tool (STAT): an integrated system for archiving, analyzing and mapping animal tracking data , 2005 .

[14]  Nathalie Mitton,et al.  From outage probability to ALOHA MAC layer performance analysis in distributed WSNs , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[15]  Juan-Carlos Zúñiga,et al.  SIGFOX System Description , 2017 .

[16]  Utz Roedig,et al.  LoRa for the Internet of Things , 2016, EWSN.

[17]  L. Elbroch,et al.  Social interactions in a solitary carnivore , 2016, Current zoology.

[18]  Yanghee Choi,et al.  An Adaptive MAC (A-MAC) Protocol Guaranteeing Network Lifetime for Wireless Sensor Networks , 2006 .

[19]  Philipp Sommer,et al.  Competition: Energy-Efficient Network Flooding with Channel-Hopping , 2017, EWSN.

[20]  Matthew B. Dwyer,et al.  Sensing through the continent: Towards monitoring migratory birds using cellular sensor networks , 2012, 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN).

[21]  Klaus Meyer-Wegener,et al.  From radio telemetry to ultra-low-power sensor networks: tracking bats in the wild , 2016, IEEE Communications Magazine.

[22]  Yong Wang,et al.  Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.

[23]  Adam Dunkels,et al.  The ContikiMAC Radio Duty Cycling Protocol , 2011 .

[24]  Eric Anderson,et al.  X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks , 2006, SenSys '06.