Recent studies demonstrate that handling a patient’s health-related data needs dynamic Quality of Service (QoS) to cope up with significant changes in the functioning of a Patient Monitoring Wireless Body Area Network (PA-WBAN). This kind of system demands a remarkable improvement in the QoS as it is dealing with the reliable transmission of a large volume of assorted data in a frequently changing environment. The QoS in a PA-WBAN is not only about how it senses or reads data from various body parts but is how it deciphers the sensed data. In the patient monitoring system, if the required data is not available in a readable format or not in a specific time, then this data becomes useless and is of no use. However, to harmonize these requirements, two approaches are proposed in this paper. The first protocol is developed for obtaining dynamic QoS for reliable packet transmission. It offers both node and packet-level dynamic-priority assignment policy, which further helps in fair and dynamic resource allocation, queuing, scheduling, retransmission, drop, and delay. It provides fair queuing and percentile scheduling policies, which estimates service rate for each priority queue and serves only highly significant packets with high waiting time during scheduling. Additionally, it offers application-specific reliability through a predictive retransmission and loss recovery policy. During retransmission and loss recovery, it calculates a retransmission rate for each sensor node and retransmits only that amount of packets from each sensor node. It also controls congestion with its dynamic priority-based rate adjustment and packet drop policies. It further provides a concept of time-bound based packet transmission policy that minimizes delay and jitter more appropriately. The second protocol is designed for attaining optimized QoS in the dynamic and assorted PA-WBAN. It applies a Lion Cooperative Hunt Optimization (LCHO) technique for the optimization of multi-objective QoS. Both theoretical and simulation results examine the usefulness of the proposed protocols and illustrate its advantage over the existing protocols.

最近的研究表明，处理患者健康相关的数据需要动态的服务质量（QoS），以应对患者监护无线人体局域网（PA-WBAN）功能的重大变化。这种系统要求QoS显着提高，因为它要处理频繁变化的环境中大量分类数据的可靠传输。PA-WBAN中的QoS不仅与它如何感测或读取身体各个部位的数据有关，还在于它如何解密所感测的数据。在患者监视系统中，如果所需数据无法以可读格式提供或在特定时间内不可用，则该数据将变得无用且无用。但是，为了协调这些要求，本文提出了两种方法。开发第一协议以获得动态QoS，以实现可靠的分组传输。它提供节点级和数据包级动态优先级分配策略，进一步帮助公平和动态地分配资源，排队，调度，重传，丢弃和延迟。它提供公平的排队和百分位调度策略，该策略估计每个优先级队列的服务速率，并且仅在调度期间为具有高等待时间的重要数据包提供服务。此外，它通过预测性的重传和丢失恢复策略提供了特定于应用程序的可靠性。在重传和丢失恢复期间，它计算每个传感器节点的重传速率，并仅从每个传感器节点重传一定数量的数据包。它还通过基于动态优先级的速率调整和丢包策略来控制拥塞。它进一步提供了基于时限的分组传输策略的概念，该策略可以更适当地最小化延迟和抖动。第二种协议旨在在动态和各种PA-WBAN中获得优化的QoS。它采用了狮子合作狩猎优化（LCHO）技术来优化多目标QoS。理论和仿真结果均检验了所提出协议的有效性，并说明了其相对于现有协议的优势。它采用了狮子合作狩猎优化（LCHO）技术来优化多目标QoS。理论和仿真结果均检验了所提出协议的有效性，并说明了其相对于现有协议的优势。它采用了狮子合作狩猎优化（LCHO）技术来优化多目标QoS。理论和仿真结果均检验了所提出协议的有效性，并说明了其相对于现有协议的优势。