An adaptive opportunistic routing scheme for reliable data delivery in WSNs

Hasnain, Muhammad; Malik, Mazhar Hussain; Aydın, Mehmet Emin

doi:10.1145/3231053.3231085

Cited by 7 publications

(7 citation statements)

References 23 publications

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“…These aspects are used because this is the main focus of our research work. Moreover, the other related works also used the same metrics for evaluation (Hasnain, Malik & Aydin, 2018;Luo et al, 2015;Raman & Sharma, 2017). Therefore, we believe the evaluation and comparison can be carried out fairly.…”

Section: Resultsmentioning

confidence: 98%

Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks

Por

Mehmood

Almogren

et al. 2020

PeerJ Computer Science

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Opportunistic routing is an emerging routing technology that was proposed to overcome the drawback of unreliable transmission, especially in Wireless Sensor Networks (WSNs). Over the years, many forwarder methods were proposed to improve the performance in opportunistic routing. However, based on existing works, the findings have shown that there is still room for improvement in this domain, especially in the aspects of latency, network lifetime, and packet delivery ratio. In this work, a new relay node selection method was proposed. The proposed method used the minimum or maximum range and optimum energy level to select the best relay node to forward packets to improve the performance in opportunistic routing. OMNeT++ and MiXiM framework were used to simulate and evaluate the proposed method. The simulation settings were adopted based on the benchmark scheme. The evaluation results showed that our proposed method outperforms in the aspect of latency, network lifetime, and packet delivery ratio as compared to the benchmark scheme.

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Section: Resultsmentioning

confidence: 98%

Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks

Por

Mehmood

Almogren

et al. 2020

PeerJ Computer Science

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“…In a study by Hasnain et al, the authors proposed a new scheme for WSNs so as to guarantee dependable data communication with effective node battery dissipation [56]. The proposed routing scheme reduces data loss by appointing a group of forwarder nodes that helps in extenuating re-transmissions from network communication.…”

Section: A Data Collection In Wireless Sensor Network (Wsns)mentioning

confidence: 99%

“…This protocol accomplishes good performance with regards to energy consumption and data transfer. Another study by Hasnain et al, the authors proposed a routing scheme for WSNs so as to guarantee dependable data communication with effective node battery dissipation [56]. The algorithm also achieves good results.…”

Section: Routing Protocol For Data Collectionmentioning

confidence: 99%

Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

Ali¹

2020

Preprint

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<div>In recent years, Wireless Sensor Networks (WSNs) technologies are used in many important</div><div>areas, including weather forecasting, security, environmental monitoring, health care, and industry.</div><div>Nonetheless, due to the constraints of WSNs in terms of energy, processing, connectivity, computation and</div><div>data integrity. An important issue in this research field is the efficient management of the large number</div><div>of WSN’s data. Therefore, there is a need for strong and scalable high-performance computing and large</div><div>storage infrastructure for real-time processing and storage of WSN’s data. This article attempts to discuss</div><div>data collection methods in WSNs, sensor cloud, and IoT. Also, in this context, a general overview of</div><div>WSNs and sensor cloud platforms, including their definitions, architectures, and applications are given.</div><div>We investigate, highlight and report recent advances in data collection technology by categorizing and</div><div>classifying data collection methods in WSNs, sensor cloud, IoT and developing a taxonomy based on</div><div>these classifications. Furthermore, the analysis and synthesis of existing works in this research domain</div><div>is highlighted. The identification of key research challenges for future work and use case in this research</div><div>domain were also highlighted and discussed.</div>

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“…As part of the ecosystem of things, the wireless sensor networks (WSN) provide an inexpensive way to capture information from the environment [12]. The two most common uses of WSNs are: 1) to collect data from the environment and route it to one or more sink nodes [7], [13], [15]; and 2) to detect and report events [9], [24], [31]. Due to the scarcity of resources available in the sensors, both applications require optimization, which is the first trend noted above.…”

Section: Introductionmentioning

confidence: 99%

Data Communication Optimization for the Evaluation of Multivariate Conditions in Distributed Scenarios

et al. 2019

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The current technological landscape is characterized by the massive and efficient interconnection of heterogeneous devices. Sensor networks (SNs) are key elements of this paradigm; they support the local loop, the collection and early manipulation of information. Among the applications of SNs, event detection is a well-explored topic in which strategies such as collaboration, self-organization, and others have been developed in depth. In this topic, the simplest and also most used event concept approach is the threshold-based event, which is usually integrated as part of the local sensor process. This paper addresses a different perspective by discussing the evaluation of multivariate Boolean conditions with distributed variables. We propose a new algorithm (Data Retaining Algorithm for Condition Evaluation, DRACE) that reduces packet traffic while preserving time accuracy in event calculation on an adaptive approach. To facilitate understanding of DRACE, a case study is presented in the context of a logical simile titled The Problem of a Proper Defense. The algorithm supports parameters that affects the compromise between accuracy and traffic savings. To analyze its performance, 9000 executions of the algorithm have been performed. 9 configurations tested on a repository of 1000 triads of signals randomly generated. Focusing on the most accurate configuration, 99% of executions are error-free, and the number of packets is reduced by 40% on average, being between 30 and 50% in 68% of cases. INDEX TERMS Wireless sensor networks, event detection, information filtering.

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An adaptive opportunistic routing scheme for reliable data delivery in WSNs

Cited by 7 publications

References 23 publications

Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks

Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks

Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

Data Communication Optimization for the Evaluation of Multivariate Conditions in Distributed Scenarios

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