scholarly journals WMSN: ANALYSIS OF AGRICULTURAL SOIL ENVIRONMENT MONITORING USING WIRELESS MULTIMEDIA SENSOR NETWORK

2021 ◽  
Vol 9 (2) ◽  
pp. 956-962
Author(s):  
E.Manjula, Et. al.
Keyword(s):  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Multimedia ◽  
Soil Environment ◽  
Available Bandwidth ◽  
Wireless Multimedia Sensor Network ◽  
Agriculture Soil ◽  
Scalar Data

This paper proposes an environmental monitoring for agriculture soil using Wireless Multimedia Sensor Network. WMSN is used to monitor the agriculture soil environment.  In order to ensure optimal use of the sensor nodes in WMSN and accurate access to the collected data, the  routing protocols with both energy efficiency and quality of service ( QoS) properties are necessary for the transmission of photo, video and scalar data. This paper proposes a priority aware energy efficient QoS based data transmission for agriculture soil environment and also detects the pest. It utilizes the available bandwidth and data rate in the best way and in order to be more energy efficient during data transmission. For performance analysis, the proposed system is simulated using Java and the results of the experiments suggest that the proposed algorithm is more efficient compared to other methods in terms of delay and energy consumption. The sink node provides the solution based on these collected values.

Lifetime Enhancement of Wireless Multimedia Sensor Networks Using Data Compression

2015 ◽  
Vol 4 (2) ◽  
pp. 56-78
Author(s):  
Pushpender Kumar Dhiman ◽  
Narottam Chand
Keyword(s):  
Data Compression ◽  
Sensor Network ◽  
Principal Component ◽  
Transmission Capacity ◽  
Sensor Nodes ◽  
Wireless Multimedia ◽  
Wireless Multimedia Sensor Network ◽  
Multimedia Sensor Networks ◽  
Scalar Data ◽  
Using Data

Wireless Sensor Network (WSN) has limited resources such as energy, computation and transmission capacity. These resources are not sufficient for transmitting large amount of data collected by the sensor nodes. Wireless Multimedia Sensor Network (WMSN) generates large amount of data that requires more energy and transmission capacity as compared to scalar data. So it is desired to perform in-network data compression in WMSN. In this paper the authors have used Principal Component Analysis (PCA) technique for data compression. PCA can be efficiently used in wireless multimedia sensor network to reduce the energy consumption, reduce the network load and prolong the network lifetime. Simulation results show that PCA based compression conserves energy of sensor nodes and prolongs the lifetime of WMSN.

scholarly journals Transmission Power Control with the Guaranteed Communication Reliability in WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Efficient Data ◽  
Communication Reliability

In a wireless sensor network, sensor nodes are deployed in an ad hoc fashion and they deliver data packets using multihop transmission. However, transmission failures occur frequently in the multihop transmission over wireless media. Thus, a loss recovery mechanism is required to provide end-to-end reliability. In addition, because the sensor nodes are very small devices and have insufficient resources, energy-efficient data transmission is crucial for prolonging the lifetime of a wireless sensor network. This paper proposes a transmission power control mechanism for reliable data transmission, which satisfies communication reliability through recovery of lost packets. The proposed method calculates packet reception rate (PRR) of each hop to maintain end-to-end packet delivery rate (PDR), which is determined based on the desired communication reliability. Then, the transmission power is adjusted based on the PRR to reduce energy consumption. The proposed method was evaluated through extensive simulations, and the results show that it leads to more energy-efficient data transmission compared to existing methods.

scholarly journals Ant Based Cross Layered Optimization Protocol for Wireless Multimedia Sensor Network with Fuzzy Clustering

2018 ◽  
Vol 10 (3) ◽  
pp. 1303
Author(s):  
Dipali Parag Adhyapak ◽  
Sridharan Bhavani ◽  
Aparna Pradeep Laturkar
Keyword(s):  
Sensor Network ◽  
Fuzzy Clustering ◽  
Routing Protocol ◽  
Life Time ◽  
Sensor Nodes ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Wireless Multimedia ◽  
Wireless Multimedia Sensor Network ◽  
Cross Layer Optimization

Wireless Multimedia Sensor Network (WMSN) is embedded with large number of Audio, Video and scalar sensor nodes which can able to retrieve the multimedia information from the environment. WMSN has several challenges such as life time of the network, Memory requirement, Coverage, Bandwidth and QoS metrics. Hence selection of routing algorithm is crucial in WMSN. Again interdependencies of the protocol layer cannot be neglected to improve the network performance. Clustering in WMSN is challenging task in order to increase network lifetime and to improve the communication. Hence Fuzzy clustered Ant based cross layer protocol (FCAXL) is proposed. In this paper performance analysis of ant based cross layer optimization protocol with fuzzy clustering based on number of nodes and packet size is done. Simulation results shows that Fuzzy clustered ant based cross layer optimization protocol performs best as compared to AntSenseNet routing protocol, Cross layer routing protocol and Ant based cross layer routing protocol in terms of QoS parameters such as Throughput, Packet delivery ratio and delay. Hence the life time of the network increases.

scholarly journals A Spatial Correlation based Power Aware Event Driven Image Stitching in Wireless Multimedia Sensor Network

2019 ◽  
Vol 8 (10) ◽  
pp. 1036-1041
Keyword(s):  
Sensor Network ◽  
Spatial Correlation ◽  
Life Time ◽  
Image Sensor ◽  
Sensor Nodes ◽  
Image Stitching ◽  
Wireless Multimedia ◽  
Wireless Multimedia Sensor Network ◽  
Redundant Data ◽  
Event Driven

Wireless multimedia sensor network(WMSN) is an image sensor which is attached to sensor node to capture information within the field of view (FOV). Due random deployment of multimedia sensor nodes there exist overlapped FOV between multimedia sensor nodes. Overlapped FOV causes redundant data transmission which leads to increased power consumption and reduced life time of a node. Another factor which may reduce the energy consumption is to capture image continuously. To escalate these issues we have designed event driven spatial correlation based image stitching algorithm. There are two modules in this scheme, first event detection module capture the image only when event is detected and second module perform image stitching when the cameras capture information. Experimental results shows there is a considerable improvements in terms of reduction in data processed.

scholarly journals Exploration of Wireless Multimedia Sensor Network Based on Joint Photographic Experts Group Image Coding Algorithm

2019 ◽  
Vol 15 (01) ◽  
pp. 98
Author(s):  
Jie He
Keyword(s):  
Change Detection ◽  
Sensor Network ◽  
Image Coding ◽  
Source Coding ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Multimedia ◽  
Wireless Sensor Nodes ◽  
Wireless Multimedia Sensor Network ◽  
Joint Photographic Experts Group

<span lang="EN-US">to study the performance of image coding and image transmission of wireless video sensor node in wireless multimedia sensor network, the challenges and design objectives of image coding technology in wireless multimedia sensor network are discussed, and the classification and exploration are carried out from two aspects: individual source coding and distributed source coding. The compression of video monitoring image sequence in wireless multimedia sensor network is studied and a low complexity image coding scheme based on change detection and improved <a name="_Hlk527536749"></a>Joint Photographic Experts Group (JPEG) algorithm is proposed. The moving target in the monitoring image is located with the change detection algorithm, that is, the area of interest. Only the region of interest is transmitted to reduce the quantity of data transmission and adapt to the limited storage and forwarding capability of wireless sensor nodes</span><span lang="EN-US">; The Discrete Cosine Transform (DCT) and quantization processes in Joint Photographic Experts Group (JPEG) algorithm are improved to reduce the computational complexity and adapt to the limited computing power of wireless sensor nodes.</span><span lang="EN-US">The analysis of algorithm complexity and the results of simulation experiment show that the proposed method can effectively reduce the data communication amount of wireless sensor nodes and the energy consumption in the calculation process while ensuring the image quality required by the application.</span><span lang="EN-US">Wireless multimedia sensor network is a new and interdisciplinary subject.</span><span lang="EN-US">The study of it is also multidirectional and multi-angle.</span><span lang="EN-US">The image coding algorithm of wireless multimedia sensor network is studied deeply.</span><span lang="EN-US">Although some achievements have been made, there are still a lot of problems that need to be further studied.</span>

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