In this paper, we propose a data aggregation back pressure routing (DABPR) scheme, which aims to simultaneously aggregate overlapping routes for efficient data transmission and prolong the lifetime of the network. The DABPR routing algorithm is structured into five phases in which event data is sent from the event areas to the sink nodes. These include cluster-head selection, maximization of event detection reliability, data aggregation, scheduling, and route selection with multi attributes decision making metrics phases. The scheme performs data aggregation on redundant data at relay nodes in order to decrease both the size and rate of message exchanges to minimize communication overhead and energy consumption. The proposed scheme is assessed in terms of packet delivery, network lifetime, ratio, energy consumption, and throughput, and compared with two other well-known protocols, namely “information-fusion-based role assignment (InFRA)” and “data routing for in-network aggregation (DRINA)”, which intrinsically are cluster and tree-based routing schemes designed to improve data aggregation efficiency by maximizing the overlapping routes. Meticulous analysis of the simulated data showed that DABPR achieved overall superior proficiency and more reliable performance in all the evaluated performance metrics, above the others. The proposed DABPR routing scheme outperformed its counterparts in the average energy consumption metric by 64.78% and 51.41%, packet delivery ratio by 28.76% and 16.89% and network lifetime by 42.72% and 20.76% compared with InFRA and DRINA, respectively.

在本文中，我们提出了一种数据聚合反压路由（DABPR）方案，该方案旨在同时聚合重叠的路由以实现有效的数据传输并延长网络的寿命。DABPR路由算法分为五个阶段，其中事件数据从事件区域发送到接收器节点。这些包括群集头选择，事件检测可靠性的最大化，数据聚合，调度以及具有多属性决策制定指标阶段的路由选择。该方案在中继节点上对冗余数据执行数据聚合，以减小消息交换的大小和速率，以最大程度地减少通信开销和能耗。所提出的方案是根据数据包传递，网络寿命，比率，能耗和吞吐量进行评估的，并与其他两个众所周知的协议进行了比较，即“基于信息融合的角色分配（InFRA）”和“用于网络内聚合的数据路由（DRINA）”，它们本质上是基于群集和树的路由方案，旨在改进通过最大化重叠路径来提高数据聚合效率。对模拟数据的细致分析表明，DABPR在所有评估的绩效指标中均达到了最高的熟练水平和更可靠的性能。与InFRA和DRINA相比，拟议的DABPR路由方案在平均能耗指标方面分别优于其他同类指标66.48％和51.41％，数据包传输率分别为28.76％和16.89％和网络寿命分别为42.72％和20.76％。即“基于信息融合的角色分配（InFRA）”和“用于网络内聚合的数据路由（DRINA）”，它们本质上是基于群集和树的路由方案，旨在通过最大化重叠路由来提高数据聚合效率。对模拟数据的细致分析表明，DABPR在所有评估的绩效指标中均达到了最高的熟练水平和更可靠的性能。与InFRA和DRINA相比，拟议的DABPR路由方案在平均能耗指标上分别优于其他同类指标64.78％和51.41％，数据包传输率28.76％和16.89％，网络寿命分别为42.72％和20.76％。即“基于信息融合的角色分配（InFRA）”和“用于网络内聚合的数据路由（DRINA）”，它们本质上是基于群集和树的路由方案，旨在通过最大化重叠路由来提高数据聚合效率。对模拟数据的细致分析表明，DABPR在所有评估的性能指标中均达到了最高的熟练水平和更可靠的性能。与InFRA和DRINA相比，拟议的DABPR路由方案在平均能耗指标上分别优于其他同类指标64.78％和51.41％，数据包传输率28.76％和16.89％，网络寿命分别为42.72％和20.76％。它们本质上是基于群集和树的路由方案，旨在通过最大化重叠路由来提高数据聚合效率。对模拟数据的细致分析表明，DABPR在所有评估的绩效指标中均达到了最高的熟练水平和更可靠的性能。与InFRA和DRINA相比，拟议的DABPR路由方案在平均能耗指标方面分别优于其他同类指标66.48％和51.41％，数据包传输率分别为28.76％和16.89％和网络寿命分别为42.72％和20.76％。它们本质上是基于群集和树的路由方案，旨在通过最大化重叠路由来提高数据聚合效率。对模拟数据的细致分析表明，DABPR在所有评估的性能指标中均达到了最高的熟练水平和更可靠的性能。与InFRA和DRINA相比，拟议的DABPR路由方案在平均能耗指标方面分别优于其他同类指标66.48％和51.41％，数据包传输率分别为28.76％和16.89％和网络寿命分别为42.72％和20.76％。