Pair‐based sink relocation and route adjustment in mobile sink WSN integrated IoT

Thiruchelvi, A.; Karthikeyan, N.

doi:10.1049/iet-com.2019.0054

Cited by 12 publications

(8 citation statements)

References 32 publications

(39 reference statements)

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“…Considering the above limitations and complexity of the available WSN technologies, this paper proposes a lightweight, dynamic, and auto-reconfigurable WSN protocol (LDAP) for the resource and energy-constrained SNs. This LDAP uses a homogeneous network with both static and mobile data sinks instead of static or relocatable base stations [23]. The improvements due to the proposed LDAP are also evident in Table 1, in terms of the number of BSs, number of hops, and energy efficiency of the WARM network, which will be described in the performance analysis section.…”

Section: Problem Formulationmentioning

confidence: 98%

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

Rahman

Wahid

2020

Remote Sensing

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IoT (Internet of Things)-based remote monitoring and controlling applications are increasing in dimensions and domains day by day. Sensor-based remote monitoring using a Wireless Sensor Network (WSN) becomes challenging for applications when both temporal and spatial data from widely spread sources are acquired in real time. In applications such as environmental, agricultural, and water quality monitoring, the data sources are geographically distributed, and have little or no cellular connectivity. These applications require long-distance wireless or satellite connections for IoT connectivity. Present WSNs are better suited for densely populated applications and require a large number of sensor nodes and base stations for wider coverage but at the cost of added complexity in routing and network organization. As a result, real time data acquisition using an IoT connected WSN is a challenge in terms of coverage, network lifetime, and wireless connectivity. This paper proposes a lightweight, dynamic, and auto-reconfigurable communication protocol (LDAP) for Wide-Area Remote Monitoring (WARM) applications. It has a mobile data sink for wider WSN coverage, and auto-reconfiguration capability to cope with the dynamic network topology required for device mobility. The WSN coverage and lifetime are further improved by using a Long-Range (LoRa) wireless interface. We evaluated the performance of the proposed LDAP in the field in terms of the data delivery rate, Received Signal Strength (RSS), and Signal to Noise Ratio (SNR). All experiments were conducted in a field trial for a water quality monitoring application as a case study. We have used both static and mobile data sinks with static sensor nodes in an IoT-connected environment. The experimental results show a significant reduction (up to 80%) of the number of data sinks while using the proposed LDAP. We also evaluated the energy consumption to determine the lifetime of the WSN using the LDAP algorithm.

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Section: Problem Formulationmentioning

confidence: 98%

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

Rahman

Wahid

2020

Remote Sensing

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“…The author of this paper operated the protocol in five stages 23 . The five stages of the protocols are partitioning, clustering, relocation of a sink, route adjustment, and Mac scheduling.…”

Section: Related Workmentioning

confidence: 99%

Energy aware tree‐based sink relocation routing protocol to improve the lifetime of wireless sensor networks

Keerthika

Hency

2021

Int J Communication

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Summary In wireless sensor network (WSN), the design of routing protocols focuses mainly on the energy efficiency based on the application of the network. Over the past years, researchers developed many solutions to protract the life expectancy of the network by reducing the consumption of energy by each node. One of the main approaches is the usage of sink in mobility; this reduces the hotspot problem and energy consumption. Aiming at this problem, the paper proposes a new routing algorithm which supports the sink mobility with energy aware tree‐based sink relocation routing protocol (TBSR) using adaptive fuzzy decision‐making approach (AF‐MADM). In TBSR, a self ‐organized routing tree is formed, which reduces the consumption of energy. In the beginning, the clustering process is employed using fuzzy possibilistic C‐means (FPCM) algorithm. Further, the fuzzy analytic hierarchy process (FAHP) with multiplicative exponential weighting model is developed for optimal decision making to select the root node. Then the selected root node creates a routing tree based on the distance and energy of the sensor nodes. Then each node uses its cluster information and the distance of the neighbors to select the parent node. For relocating the sink node, the proposed protocol calculates the energy along with hop count and path capacity. These methods make TBSR an energetic and analogous protocol. Results show that the proposed TBSR improves on the energy consumption and the lifetime of the network compared with existing protocols. The simulation is carried out in OMNET++ platform.

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“…The proposed method is analyzed in terms of lifetime and energy usage. The paper [ 38 ] proposes a five-stage solution for the cluster-based routing problem. First, the network is divided into multiple regions by quad tree combined binary tree policy.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Cluster-Based Data Collection by a UAV with a Limited-Capacity Battery in Robotic Wireless Sensor Networks

Gül

Erkmen

2020

Sensors

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In this work, our motivation focuses on an energy-efficient data collection problem by a mobile sink, an unmanned aerial vehicle (UAV) with limited battery capacity, in a robot network divided into several robot clusters. In each cluster, a cluster head (CH) robot allocates tasks to the remaining robots and collects data from them. Our contribution is to minimize the UAV total energy consumption coupled to minimum cost data collection from CH robots by visiting optimally a portion of the CH robots. The UAV decides the subset of CH robots to visit by considering not only the locations of all CH robots but also its battery capacity. If the UAV cannot visit all CH robots, then the CH robots not visited by the UAV transmit their data to another CH robot to forward it. The decision of transmission paths of transmitting robots is included in the cost optimization. Our contribution passes beyond the existing paradigms in the literature by considering the constant battery capacity for the UAV. We derive the optimal approach analytically for this problem. For various numbers of clusters, the performance of our strategy is compared with the approach in the close literature in terms of total energy consumed by CH robots, which affects network lifetime. Numerical results demonstrate that our strategy outperforms the approach in the close literature.

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Pair‐based sink relocation and route adjustment in mobile sink WSN integrated IoT

Cited by 12 publications

References 32 publications

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring

Energy aware tree‐based sink relocation routing protocol to improve the lifetime of wireless sensor networks

Energy-Efficient Cluster-Based Data Collection by a UAV with a Limited-Capacity Battery in Robotic Wireless Sensor Networks

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