Cross-Layer Routing for a Mobility Support Protocol Based on Handover Mechanism in Cluster-Based Wireless Sensor Networks with Mobile Sink

Zahra, Maamar; Wang, Yulin; Ding, Wenjia

doi:10.3390/s19132843

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…The focus of Zahra et al [ 189 ] is on MS that traverses a WSN that relies on a cluster-based data collection protocol in which cluster-heads are responsible for collecting and transmitting the cluster members’ sensed data to the MS. The paper examines a scenario in which the MS is constantly moving in a predefined trajectory, regardless of whether the data transfer was completed or not.…”

Section: Routing For Data Gathering In Wsnmentioning

confidence: 99%

Data Gathering Techniques in WSN: A Cross-Layer View

Gurewitz

Shifrin

Dvir

2022

Sensors

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Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their applicability to a large variety of technological domains and applications, ranging from the Internet of things (IoT) for smart cities and smart homes to wearable technology healthcare applications, underwater, agricultural and environmental monitoring and many more. This expansion is rapidly growing every passing day in terms of the variety, heterogeneity and the number of devices which such applications support. Data collection is commonly the core application in WSN and IoT networks, which are typically composed of a large variety of devices, some constrained by their resources (e.g., processing, storage, energy) and some by highly diverse demands. Many challenges span all the conceptual communication layers, from the Physical to the Applicational. Many novel solutions devised in the past do not scale well with the exponential growth in the population of the devices and need to be adapted, revised, or new innovative solutions are required to comply with this massive growth. Furthermore, recent technological advances present new opportunities which can be leveraged in this context. This paper provides a cross-layer perspective and review of data gathering in WSN and IoT networks. We provide some background and essential milestones that have laid the foundation of many subsequent solutions suggested over the years. We mainly concentrate on recent state-of-the-art research, which facilitates the scalable, energy-efficient, cost-effective, and human-friendly functionality of WSNs and the novel applications in the years to come.

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Section: Routing For Data Gathering In Wsnmentioning

confidence: 99%

Data Gathering Techniques in WSN: A Cross-Layer View

Gurewitz

Shifrin

Dvir

2022

Sensors

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“…As mentioned above, mobile BS-supported cluster routing can reduce the energy which is consumed in CHs. Mobile BS can move to the area with less energy, which alleviates the hotspot problem [5][6][7]. With the easing of the hotspot problem, the energy of the network is balanced and the lifetime of the network is enhanced.…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks

2022

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With the development of the internet of things, people pay more and more attention to wireless sensor networks. Designing the energy efficient routing is an essential objective for wireless sensor networks. Cluster routing is one of the most popular routing protocols to enhance the network lifetime. However, hotspot problem always exists in cluster-based routing protocol. The task of this study is designing a cluster routing protocol with mobile base station which aims at balancing the energy consumption and prolonging the network lifetime. In this article, we design a particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks. The software defined network architecture is used to reduce the energy overhead and computation overhead in sensor nodes. Particle swarm optimization-based cluster routing algorithm is used to calculate the cluster heads and the sojourn locations of base station. Artificial bee colony algorithm-based traversal path algorithm is used to design the move path of the base station. Comparing with relevant protocols, the proposed protocol reduces the energy consumption, enhances the network lifetime and reduces the control overhead.

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RETRACTED ARTICLE: Fuzzy signal strength estimated Markov probabilistic graph for efficient handover and seamless data delivery in PAN

Sridhar

Chandrasekar

2020

J Ambient Intell Human Comput

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Cross-Layer Routing for a Mobility Support Protocol Based on Handover Mechanism in Cluster-Based Wireless Sensor Networks with Mobile Sink

Cited by 4 publications

References 26 publications

Data Gathering Techniques in WSN: A Cross-Layer View

Data Gathering Techniques in WSN: A Cross-Layer View

Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks

RETRACTED ARTICLE: Fuzzy signal strength estimated Markov probabilistic graph for efficient handover and seamless data delivery in PAN

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