Design and Implementation of Energy Efficient Node Data Transmission by Using Mobile Sink Node

Palaskar, Shweta P.; Chavhan, Nekita

doi:10.1109/csnt.2014.24

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…-A. Distance between the sensor nodes in the network affects their transmission/acquisition energies [32]. This situation is taken into consideration and "distance between nodes" is determined as a parameter.…”

Section: Determination Of Compression Algorithm Via Fuzzy Logic Methodsmentioning

confidence: 99%

Fuzzy logic and image compression based energy efficient application layer algorithm for wireless multimedia sensor networks

2020

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Wireless Sensor Networks (WSN) are the networks that can realize data processing and computation skills of sensor nodes over the wireless channel and they have several communication devices. Wireless Multimedia Sensor Networks (WMSN) are the networks composed of low-cost sensor nodes that transmit realtime multimedia data like voice, image, and video to each other and to sink. WMSN needs more energy and bandwidth than WSN since they transmit a larger amount of data. The size of the data transmitted by the sensor nodes to each other or the sink becomes an important factor in their energy consumption. Energy consumption is a fundamental issue for WMSN. Other issues that affect the progress of WMSN are limited bandwidth and memory constraints. In these networks, for which the node battery lives are important sources, the limited sources must be effectively used by decreasing the transmitted data amount by removing the redundant data after proper processing of the environmental data. A new algorithm is developed to minimize the energy consumption during image data transmission between sensor nodes on WMSN, and so, make the nodes use their most important source, battery life effectively in this study. This algorithm is named as Energy-aware Application Layer Algorithm based on Image Compression (EALAIC). This algorithm makes use of the top three image compression algorithms for WMSN and decides instantly to which one is the most efficient based on three parameters: the distance between the nodes, total node number, and data transmission frequency. In this way, the sensor node battery lives are used efficiently. The performance analysis of the developed algorithm is also done via Network Simulator ? 2 (NS ? 2) and it is compared by the existing algorithms in terms of energy rate (consumed energy/total energy) and PSNR (Peak Signal to Noise Ratio).

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Section: Determination Of Compression Algorithm Via Fuzzy Logic Methodsmentioning

confidence: 99%

Fuzzy logic and image compression based energy efficient application layer algorithm for wireless multimedia sensor networks

2020

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“…In [7], authors focus on using a mobile sink node which is considered as an important technique to improve network performance by collecting the data from each sensor node and then communicate through the network. There are certain techniques to consume the communication energy of sensor node.…”

Section: Related Workmentioning

confidence: 99%

A Survey Paper on Modified SPIN for WSN

2016

IJSR

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Wireless sensor networks consists of small nodes with sensing, computation, and wireless communications capabilities. The life time of a sensor node depends on its energy consumption. Saving energy and increase network life time are main challenges of wireless sensor networks. The efficiency of the sensor node depends on the routing protocols used. Routing protocols provides a best data transmission route from sensor nodes to sink node to save energy for nodes in the network. Aggregating the data from the common sensor nodes using the concept of the sink nodes is used to preserve the battery of the nodes. The sink nodes collect data from the sensor nodes and forward the data to the base station node.

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“…The throughput can also be maximized by employing mobile sinks in some wireless sensor networks [ 7 ]. For mobile sink networks, the energy consumption can be further reduced by designing efficient wireless communication strategies because the data sending and receiving by communication modules may consume the major energy in WSNs [ 10 ]. Therefore, the power-efficient data transmission schemes should be investigated to further prolong the lifetime of wireless sensor networks with mobile sinks.…”

Section: Introductionmentioning

confidence: 99%

Multi-Source Cooperative Data Collection with a Mobile Sink for the Wireless Sensor Network

Han

Yang

2017

Sensors

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The multi-source cooperation integrating distributed low-density parity-check codes is investigated to jointly collect data from multiple sensor nodes to the mobile sink in the wireless sensor network. The one-round and two-round cooperative data collection schemes are proposed according to the moving trajectories of the sink node. Specifically, two sparse cooperation models are firstly formed based on geographical locations of sensor source nodes, the impairment of inter-node wireless channels and moving trajectories of the mobile sink. Then, distributed low-density parity-check codes are devised to match the directed graphs and cooperation matrices related with the cooperation models. In the proposed schemes, each source node has quite low complexity attributed to the sparse cooperation and the distributed processing. Simulation results reveal that the proposed cooperative data collection schemes obtain significant bit error rate performance and the two-round cooperation exhibits better performance compared with the one-round scheme. The performance can be further improved when more source nodes participate in the sparse cooperation. For the two-round data collection schemes, the performance is evaluated for the wireless sensor networks with different moving trajectories and the variant data sizes.

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Design and Implementation of Energy Efficient Node Data Transmission by Using Mobile Sink Node

Cited by 3 publications

References 17 publications

Fuzzy logic and image compression based energy efficient application layer algorithm for wireless multimedia sensor networks

Fuzzy logic and image compression based energy efficient application layer algorithm for wireless multimedia sensor networks

A Survey Paper on Modified SPIN for WSN

Multi-Source Cooperative Data Collection with a Mobile Sink for the Wireless Sensor Network

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