MoT: A Deterministic Latency MAC Protocol for Mission-Critical IoT Applications

With the growing demand on the IoT market and limited wireless resources, it is essential to fully utilize the available spectrum by improving the total throughput of the network. Many MAC protocols for IoT rely on pure ALOHA-based channel access. Being that these are contention-based the packet collisions cause a massive drop in both the throughput and packet d elivery ratio. The se, proto cols a re unsuitable formission-critical applications which usually req uire long-range communication with guaranteed packet delivery and high throughput. In this paper, we propose a new hybrid scheduling-based protocol MAC on Time (MoT) that guarantees the delivery of all uplink packets in the network and addresses mos t of the importantparameters re qui red by mission-critical a pplica tio.MoT improves the utilization of the bandwidth ca pacity while providing deterministic latency and increased throughput when compared to other IoT MAC protocols. We then designed a simulator for MoT to allow us to compare its performance against that of LoRaWAN. This work provides valuable insight on the performance of both protocols and will aid future research.

[1]  Utz Roedig,et al.  Do LoRa Low-Power Wide-Area Networks Scale? , 2016, MSWiM.

[2]  S. V. Rao,et al.  Clock drift reduction for relative time slot TDMA-based sensor networks , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[3]  Dorothea Wagner,et al.  Algorithms for Sensor and Ad Hoc Networks, Advanced Lectures [result from a Dagstuhl seminar] , 2007, Algorithms for Sensor and Ad Hoc Networks.

[4]  V. Sharma,et al.  Analysis of SMAC protocol for missioon critical applications in wireless sensor networks , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[5]  Ahcène Bounceur,et al.  A study of LoRa low power and wide area network technology , 2017, 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

[6]  Petar Solic,et al.  LoRaWAN — A low power WAN protocol for Internet of Things: A review and opportunities , 2017, 2017 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

[7]  Thomas H. Clausen,et al.  A Study of LoRa: Long Range & Low Power Networks for the Internet of Things , 2016, Sensors.

[8]  Wen-Jye Shyr,et al.  Development of Energy Management System Based on Internet of Things Technique , 2017 .