MIQoS-RP: Multi-Constraint Intra-BAN, QoS-Aware Routing Protocol for Wireless Body Sensor Networks

Abstract

Wireless Body Sensor Networks (WBSNs) are becoming increasing popular in a number of healthcare applications. A particular requirement of WBSNs in a healthcare system is the transmission of time-sensitive and critical data, captured by heterogeneous biosensors, to a base station while considering the constraints of reliability, throughput, delay and link quality. However, the simultaneous communication among various biosensors also raises the possibility of congestion on nodes or transmission links. Consequently, the likelihood of a number of untoward situations increases, such as disruption (high delays), packet losses, retransmissions, bandwidth exhaustion, and insufficient buffer space. The significant level of interference in the network leads to a higher number of collisions and retransmissions. The selection of an optimized route to cope with these issues and satisfy the QoS requirements of a WBSN has not been well-studied in the relevant literature. In this regard, we propose a multi-constraint, Intra-BAN, QoS-Aware Routing Protocol (referred to as MIQoS-RP) which introduces an improved, multi-facet routing metric to optimize the route selection while satisfying the aforementioned constraints. The performance of the proposed protocol is evaluated in terms of average end-to-end delay, throughput and packet drop ratio. The comparison of MIQoS-RP with the existing routing protocols demonstrates its efficacy in terms of the selected criteria. The results show that the MIQoS-RP achieves improved throughput by 22%, average end-to-end delay by 29% and packet drop ratio performance by 41% as compares to existing schemes.

Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions

“…This protocol was proposed by [ 111 ], and is specifically focused on Wireless Body Sensor Networks (WBSNs). WBSNs are responsible for transmitting time-sensitive and critical data which are obtained from various biosensors.…”

Smart Hospitals and IoT Sensors: Why Is QoS Essential Here?

“…Table 1 summarizes the main articles published in the last four years and their goal and QoS strategy. Among different QoS methods, studies focus mainly on four common strategies: (i) scheduling protocols [15,16]; (ii) data prioritization [15][16][17][18][19][20][21][22]; (iii) routing protocols [22][23][24][25][26][27]; (iv) resource management [16,21]. Studies have examined the use of data prioritization to reduce transmission time.…”

“…On the other hand, scheduling protocols control the time slot assignment for each data transmission and their order based on the amount and type of data. Several studies present QoS strategies for Wireless Body Area Network (WBAN) infrastructures [16,22,[24][25][26][27]29]. A WBAN comprises a private network of connected sensors transmitting data to a master node that relays the information to upper network layers.…”

Performance Evaluation of RPL Objective Function: A Case of Contiki Operation System

“…An RPL node stores the routes to all the routes downward in the tree and the size of the routing table can use more memory in large networks in the storing mode. However, these path entries depend on the OF in use because each uses different metrics to find the best path [16].…”