Throughput and Channel Aware MAC Scheduling for SmartBAN Standard

Abstract

In this paper, a throughput-and channel-aware (TCA) medium access control (MAC) scheduling scheme is presented and evaluated for smart body area network (SmartBAN) standard, developed by the European Telecommunication Standard Institute (ETSI). The presented algorithm utilizes the radio link signal-to-noise ratio (SNR) to select the candidate nodes for a given time slot in the first phase, while, in the second phase, the slot is assigned to one of the chosen nodes based on their priority level and data packet availability. The algorithm uses an m-periodic scheduling technique, in which the nodes are considered for slot assignment according to their data packet generation rates during the second phase. Subsequently, a comprehensive explanation of the TCA algorithm execution through the slot reassignment method in SmartBAN is provided. For performance comparison, we use four key performance indicators (KPIs), which include packet reception rate (PRR), latency, energy consumption per successful transmission, and throughput. The simulation results indicate a significant performance gain of the SmartBAN-complaint TCA algorithm in terms of PRR and energy efficiency over the reference SmartBAN MAC scheduling with and without repetition. The average improvement in the PRR results is approximately 40%, whereas a maximum enhancement of 66% is observed in terms of energy efficiency while satisfying the throughput and latency requirements of the use case considered during simulations. Furthermore, we introduce some enhancements in the primary TCA to decrease the frequency of TCA execution via slot re-assignment frames transmission for reducing energy consumption, which results in a slight improvement of energy efficiency.

A Flexible Enhanced Throughput and Reduced Overhead (FETRO) MAC Protocol for ETSI SmartBAN

“…The proposed optimization also allows sensor nodes to remain in the longest possible sleep mode to minimize the energy consumption while maintaining the delay constraints. In [14], variations in both the channel and data traffic are taken into account to adapt the time slot allocation in reference SmartBAN standard. The algorithm, termed as joint throughput and channel aware (TCA) scheduling, adopts mperiodic scheduling approach.…”

“…The overhead energy consumption for the sensor nodes and hub in FETRO MAC strategy can be easily computed using (10) and (11) respectively. The energy consumption associated with the payload transmission in scheduled access period can be calculated using (14) and (15) respectively for the sensor nodes and hub. Note that the transmission of additional fields to define L Slot in the modified connection request and connection assignment frames leads to a slight increase in energy consumption only at the time of connection establishment (as mentioned in sub-sections IvA and IVB) in FETRO MAC.…”

Towards achieving efficient MAC protocols for WBAN-enabled IoT technology: a review

“…But then, adaptability to changes typically could result to an increase in the computational complexity of a protocol including other disadvantages that may make the biosensor devices to expend more energy resources. In the area of traffic adaptive MAC protocol development, some efforts have been intensified in [118,119], however, further investigations are required because of the unique challenges posed by the WABN-enabled IoT technology. Thus, the development of traffic and topology adaptive MAC protocols that captures the effect of topology and traffic changes is still an active research issue that requires more attention for improved energy efficiency in the WBAN-enabled IoT technology.…”

Demand-Based Dynamic Slot Allocation for Effective Superframe Utilization in Wireless Body Area Network

“…Also, the fixed allocation underutilizes the time slots when there are no data to be transmitted. Therefore, many research works [6,7] are focused on dynamic slot allocation methods, where priorities of the sensor nodes are taken into consideration while allocating the slots. However, node's priority alone is not sufficient to decide on transmission order, and therefore, a set of works on priority calculation methods are developed based on different real-time information such as remaining energy, delivery ratio, and also the importance of the sensed data.…”