DPCA: Data Prioritization and Capacity Assignment in Wireless Sensor Networks

Siddiqi, Taj Rahman; Ning, Huansheng; Ping, Haodi; Mahmood, Zahid

doi:10.1109/access.2016.2630118

Cited by 11 publications

(7 citation statements)

References 28 publications

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“…In a cluster, a CH is selected among all the available nodes. A CH is used to manage the activities related to the cluster and can access all the member nodes [5], [6]. The CH has to control all the nodes in a network; therefore, the selection of CH becomes important for network survivability.…”

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

2020

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Mobile ad hoc networks (MANETs) have recently received a lot of attention from researchers due to their ease of deployment and versatility. Clustering is one of the most efficient ways to coordinate routing in MANETs to improve network performance using different attributes and metrics. In this paper, the authors have extensively studied clustering schemes and divided the schemes into multiple types based on the Cluster Head (CH) selection criteria, which provides a good understanding of how each type of clustering algorithm differs from each other. The authors analyzed the performance of existing schemes based on the quality of service (QoS) metrics. Based on findings, the authors clarified some important tradeoffs between QoS metrics and also established some important factors influencing the efficiency of clustering schemes. These studies also contain open research challenges and proposed solutions to improve the performance of clustering schemes. INDEX TERMS Clustering, cluster head, MANETs, protocol and schemes.

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Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

2020

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“…Packets are dropped in the wireless sensor network when congestion happens. Energy depletion in these transmissions decreases the wireless sensor network lifetime [ 39 ]. In a wireless sensor network, successful event detection required timeliness and reliability, and the data delivery is not the same in congestion in a wireless sensor network.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network

Zeb

Wakeel

Rahman

et al. 2022

Computational Intelligence and Neuroscience

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Wireless sensor network is widely used in different IoT-enabled applications such as health care, underwater sensor networks, body area networks, and various offices. A sensor node may face operational difficulties due to low computing capacity. Moreover, mobility has become an open challenge in the healthcare wireless body area network that is highly affected by message loss due to topological manipulation. In this article, an enhanced version of the well-known algorithm MT-MAC is proposed, namely DT-MAC, to ensure successful message delivery. It considers node handover mechanism among virtual clusters to ensure network integrity and also uses the concept of minimum connected dominating set for network formation to achieve efficient energy utilization. It is then compared with well-known algorithms such as MT-MAC. The simulation results show that an increase in little latency of roughly 3 percent in using the proposed protocol improves the MT-MAC's packet delivery by 13–17 percent and the response time by around 15 percent. Therefore, the algorithm is best fitted for real-time applications where the high packet delivery and response time are required.

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“…In [51], a fuzzy-based decision mechanism is used to compute priorities according to characteristics of the environment and the sensing and processing resources of sensor nodes, resulting in a uniform scope of prioritization for the entire network. Likewise exploiting prioritization, the work in [52] dynamically changes the way packets are routed according to their relevance for the application. From a wider perspective, the work in [53] differentiates sensor nodes in a smart home scope, which may be beneficial when quickly delivering sensitive data.…”

Section: A Smart City Perspective Of Emergency Alertingmentioning

confidence: 99%

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Costa

Vasques

Portugal

et al. 2019

Sensors

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The development of efficient sensing technologies and the maturation of the Internet of Things (IoT) paradigm and related protocols have considerably fostered the expansion of sensor-based monitoring applications. A great number of those applications has been developed to monitor a set of information for better perception of the environment, with some of them being dedicated to identifying emergency situations. Current IoT-based emergency systems have limitations when considering the broader scope of smart cities, exploiting one or just a few monitoring variables or even allocating high computational burden to regular sensor nodes. In this context, we propose a distributed multi-tier emergency alerting system built around a number of sensor-based event detection units, providing real-time georeferenced information about the occurrence of critical events, while taking as input a configurable number of different scalar sensors and GPS data. The proposed system could then be used to detect and to deliver emergency alarms, which are computed based on the detected events, the previously known risk level of the affected areas and temporal information. Doing so, modularized and flexible perceptions of critical events are provided, according to the particularities of each considered smart city scenario. Besides implementing the proposed system in open-source electronic platforms, we also created a real-time visualization application to dynamically display emergency alarms on a map, demonstrating a feasible and useful application of the system as a supporting service. Therefore, this innovative approach and its corresponding physical implementation can bring valuable results for smart cities, potentially supporting the development of adaptive IoT-based emergency-aware applications.

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DPCA: Data Prioritization and Capacity Assignment in Wireless Sensor Networks

Cited by 11 publications

References 28 publications

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

Energy-Efficient Cluster Formation in IoT-Enabled Wireless Body Area Network

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

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