A copy-at-neighbouring-node retransmission strategy for improved wireless sensor network lifetime and reliability

Yücel, Tuğçe; Altın-Kayhan, Ayşegül

doi:10.1080/01605682.2018.1475108

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…This contribution is complemented by a method for determining the number of retransmissions required to achieve user-specified reliability levels under two failure models that capture common wireless characteristics of industrial environments. Reference [ 14 ] developed a retransmission strategy derived from the Pareto principle and the scale-free properties of complex networks. In our revised definition of hop-by-hop reliability, sensors that forward data directly to the central node must perform retransmissions.…”

Section: Related Workmentioning

confidence: 99%

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Sun

Wang

et al. 2022

Computational Intelligence and Neuroscience

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Multipath data transmission is a key problem that needs to be solved urgently in wireless sensor networks. In this paper, sensor node failure, link failure, energy exhaustion, and external interference affect the stability and reliability of network data transmission. A multipath transmission strategy for wireless sensor networks based on improved shuffled frog leaping algorithm is proposed. A mathematical model of multipath transmission in wireless sensor networks is established. In the shuffled frog leaping algorithm, combined with the transition probability in the particle swarm optimization algorithm, random individuals in the subgroup are introduced to assist the search when updating the frog individual position, which improves the algorithm's ability to jump out of the local optimum and improves the quality of the optimization algorithm solution. The model is applied to multipath transmission in wireless sensor networks. Then, the shuffled frog leaping algorithm is used to update, divide, and reorganize the sensor nodes to select the optimal node to establish the optimal transmission path and improve the stability and reliability of the network. Simulation experiments show that the algorithm in this paper can ensure the reliability of data transmission, reduce the network packet loss rate and network energy consumption, and reduce the average delay of data transmission.

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Section: Related Workmentioning

confidence: 99%

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Sun

Wang

et al. 2022

Computational Intelligence and Neuroscience

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“…In such networks, nodes are usually supplied by low power and small batteries [30]. Also possible use copy-at-neighbouring-node retransmission strategy for improved wireless sensor network lifetime and reliability [31]. Other approaches to the design of nodes were considered in the research [32][33][34][35][36][37].…”

Section: Figure 6 -Test Board Cc2530 Sensormentioning

confidence: 99%

Adaptive Concepts and Optimization Approach to Design of Testbenches and Nodes for Wireless Sensor Networks

Galkin¹

2019

Sc. pap. DonNTU OTA

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The object of the research is nodes and testbenches for wireless sensor networks. The article analyzes the requirements for a wireless sensor network node and testbenche. Goal of the research is develop adaptive concept and optimization approach to design of testbenches and nodes for wireless sensor networks. The hardware components for building test platform for wireless sensor networks were proposed. Also test platform for wireless sensor networks was developed as printed circuit board. As a result proposed solution can use for prototype, build and scale wireless sensor network. In node structures for wireless sensor network proposed use modules CC2530. Also peripherals capabilities of CC2530 were analyzed. As one of optimization approach to designing wireless sensor network given the structure of node. Also given report about difference in concept to designing nodes and uses areas. In conclusion, the developed approaches can be used for any application of the wireless sensor network.

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“…On the other hand, IoT networks are characterized by their vulnerability to security risks from the Internet and the shared wireless medium, self-configuration, lack of infrastructure, and complexity of the design of network protocols (Türkogulları, Aras, Altınel, & Ersoy, 2010;Yücel & Altın-Kayhan, 2019). They are possibly deployed in unknown, hostile networks with highly dynamic network topologies.…”

Section: Introductionmentioning

confidence: 99%

Optimal proactive monitor placement & scheduling for IoT networks

Mostafa

Molnar

Saleh

et al. 2022

Journal of the Operational Research Society

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This work is fulfilled in the context of the optimized monitoring of Internet of Things (IoT) networks. IoT networks are faulty; Things are resource-constrained in terms of energy and computational capabilities; they are also connected via lossy links. For IoT systems performing a critical mission, it is crucial to ensure connectivity, availability, and network reliability, which requires proactive network monitoring. The idea is to oversee the network state and functioning of the nodes and links; to ensure the early detection of faults and decrease node unreachability times. It is imperative to minimize the resulting monitoring energy consumption to allow the IoT network to perform its functions. Furthermore, to realize the integration of the monitoring mechanism with IoT services, this latter should work in tandem with the IoT standardized protocols, especially the IPv6 for Low-power Wireless Personal Area Networks (6LoWPAN) and the Routing Protocol for Low-power and lossy networks (RPL). In this paper, an optimized, proactive, passive, centralized monitoring system is proposed for IoT networks. The proposition ensures the optimal placement of monitoring nodes (monitors). Leveraging the graph built by RPL for routing (the DODAG), minimal sets of monitors are optimally placed to cover a given domain. The monitoring activity is optimally scheduled between several subsets of nodes to prolong longevity while minimizing the energy consumption for monitoring, communication, and state transitions. Our proposition provides the exact solution to the defined monitoring placement and scheduling problem via a Binary Integer Program. The model serves as a benchmark for the performance evaluation of contemporary models. Experimentation is designed using network instances of different topology. Results demonstrate the proposed model's effectiveness in realizing full monitoring coverage with minimum energy consumption and communication overhead and a balanced distributed monitoring role.

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A copy-at-neighbouring-node retransmission strategy for improved wireless sensor network lifetime and reliability

Cited by 5 publications

References 20 publications

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Adaptive Concepts and Optimization Approach to Design of Testbenches and Nodes for Wireless Sensor Networks

Optimal proactive monitor placement & scheduling for IoT networks

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