Energy-Efficient Image Compressive Transmission for Wireless Camera Networks

Wang, Yong; Wang, Dianhong; Zhang, Xufan; Li, Yamin

doi:10.1109/jsen.2016.2536941

Cited by 33 publications

(13 citation statements)

References 36 publications

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“…This multiuser sequence and solution is the globally optimal solution of problem (16). The same argument applies to problems (17) and (18).…”

Section: A Existence Of Globally Optimal Solutionmentioning

confidence: 88%

“…In many IoT applications, the amount of data to be transmitted is not necessarily small, resulting in a high transmission cost [14]. In this regard, data compression schemes have been proposed [15][16][17][18], which decrease the amount of data to be transmitted and thus alleviate the transmission energy cost. Typically, the energy cost of compression and transmission is around 15% and 80% of the total energy consumed by a sensor node, respectively, [19], [20].…”

Section: Introductionmentioning

confidence: 99%

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Sequencing and Scheduling for Multi-User Machine-Type Communication

Alvi

Zhou

Durrani

et al. 2020

IEEE Trans. Commun.

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In this paper, we propose joint sequencing and scheduling optimization for uplink machine-type communication (MTC). We consider multiple energy-constrained MTC devices that transmit data to a base station following the time division multiple access (TDMA) protocol. Conventionally, the energy efficiency performance in TDMA is optimized through multi-user scheduling, i.e., changing the transmission block length allocated to different devices. In such a system, the sequence of devices for transmission, i.e., who transmits first and who transmits second, etc., has not been considered as it does not have any impact on the energy efficiency. In this work, we consider that data compression is performed before transmission and show that the multi-user sequencing is indeed important. We apply three popular energy-minimization system objectives, which differ in terms of the overall system performance and fairness among the devices. We jointly optimize both multi-user sequencing and scheduling along with the compression and transmission rate control. Our results show that multi-user sequence optimization significantly improves the energy efficiency performance of the system. Notably, it makes the TDMA-based multi-user transmissions more likely to be feasible in the lower latency regime, and the performance gain is larger when the delay bound is stringent.

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“…This multiuser sequence and solution is the globally optimal solution of problem (16). The same argument applies to problems (17) and (18).…”

Section: A Existence Of Globally Optimal Solutionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Sequencing and Scheduling for Multi-User Machine-Type Communication

Alvi

Zhou

Durrani

et al. 2020

IEEE Trans. Commun.

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show abstract

“…The sorting sequence is obtained directly. According to the above analysis, when the row and column transformation sequences are obtained, the chaotic transformation can be performed, and the result that Fibonacci- p transformation [ 13 , 14 , 15 , 16 , 17 ].…”

Section: Improved Image Scrambling Algorithm Based On Fibonacci- mentioning

confidence: 99%

The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Dong

Wu²,

Yang³

2018

Sensors

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With the deepening of modern military reforms, information has become the key to winning modern warfare. The use of unmanned aerial vehicle (UAV) to capture image information has become an important means of reconnaissance in modern warfare and plays an irreplaceable role. The image information usually uses a wireless image transmission system, since image information is intercepted or stolen easily during the information transmission, encrypting an image is a common method for ensuring image security. However, traditional encryption algorithms have some deficiencies in terms of efficiency and security. In order to overcome these shortcomings, a new algorithm is proposed in this paper-an improved image scrambling encryption algorithm based on Fibonacci-p coding. The first new idea of the algorithm is to separate the positive and negative signs and data of the scrambled DCT coefficients, then form the symbol matrix and the data matrix respectively, perform the scrambling encryption operation on the symbol matrix. The second new idea is to encrypt the color RGB image by converting the R, G, and B colors into Y, Cb, and Cr, and converting the normal image operation into operations on Y, Cb, and Cr, thereby implementing the encryption operation. The comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.

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“…Design Challenge: Existing adaptive transmission rate control schemes [17][18][19] attempt to prolong node-lifetime without considering data compression [7][8][9][10]. In this work, our focus is to devise joint data compression-transmission policies to optimally utilize the energy resources to maximize the lifetime of an energy constrained sensor based MTC device.…”

Section: Introductionmentioning

confidence: 99%

“…By using compressive sensing, less number of samples are collected which reduces the sensing cost as well as the data transmission cost. The reader is referred to [16] for an 3 overview of related works on compression and transmission frame design using compressive sensing in wireless sensor networks.Design Challenge: Existing adaptive transmission rate control schemes [17][18][19] attempt to prolong node-lifetime without considering data compression [7][8][9][10]. In this work, our focus is to devise joint data compression-transmission policies to optimally utilize the energy resources to maximize the lifetime of an energy constrained sensor based MTC device.Prior works on power-rate adaptation [18][19][20][21][22], which do not employ data compression, have considered transmission energy as a monotonically increasing function of the transmission rate.Therefore, these schemes propose to transmit data at lower transmission rates under given delay constraint to achieve energy efficiency.…”

mentioning

confidence: 99%

Optimal Compression and Transmission Rate Control for Node-Lifetime Maximization

Alvi

Zhou

Durrani

2018

IEEE Trans. Wireless Commun.

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We consider a system that is composed of an energy constrained sensor node and a sink node, and devise optimal data compression and transmission policies with an objective to prolong the lifetime of the sensor node. While applying compression before transmission reduces the energy consumption of transmitting the sensed data, blindly applying too much compression may even exceed the cost of transmitting raw data, thereby losing its purpose. Hence, it is important to investigate the tradeoff between data compression and transmission energy costs. In this paper, we study the joint optimal compression-transmission design in three scenarios which differ in terms of the available channel information at the sensor node, and cover a wide range of practical situations. We formulate and solve joint optimization problems aiming to maximize the lifetime of the sensor node whilst satisfying specific delay and bit error rate (BER) constraints. Our results show that a jointly optimized compressiontransmission policy achieves significantly longer lifetime (90% to 2000%) as compared to optimizing transmission only without compression. Importantly, this performance advantage is most profound when the delay constraint is stringent, which demonstrates its suitability for low latency communication in future wireless networks. ). This paper is presented in part at IEEE Globecom 2018 [1]. I. INTRODUCTIONThe notion of Internet of things (IoT) calls for novel solutions to realize wireless connectivity across heterogeneous and autonomous wireless devices such as sensors, actuators, etc., which are often referred to as machine-type communication (MTC) devices [2], [3]. The sensor based MTC devices within an IoT system, are supposed to acquire physical information from the environment and transmit it to a central data fusion station while satisfying stringent technical requirements in terms of maximal energy efficiency, ultra-low latency, and application specific rigorous data reliability.Due to their wireless and unattended operation, MTC devices are mostly battery operated and are severely energy constrained. Thus, prolonging the lifetime of these sensor based MTC devices, which is defined as the time taken by the MTC device to deplete all of its energy, is of paramount importance [4]. In the existing literature, the lifetime maximization problem has been approached from different perspectives such as green channel access, sleep-wake scheduling, coverage, efficient routing, network coding, data aggregation, see [4] and the references therein.The low-cost and miniature sized CMOS cameras and microphones have made it possible to acquire multimedia information, i.e., image, audio, and video, from the environment enabling the notion of wireless multimedia sensor networks (WMSN) [5] and Internet of multimedia things (IoMT) [6]. In most of the applications of WMSN and IoMT, the amount of sensed data (raw data) can sometimes be very large, resulting in high transmission cost. In this regard, data compression schemes have been proposed [7-10], wh...

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Energy-Efficient Image Compressive Transmission for Wireless Camera Networks

Cited by 33 publications

References 36 publications

Sequencing and Scheduling for Multi-User Machine-Type Communication

Sequencing and Scheduling for Multi-User Machine-Type Communication

The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Optimal Compression and Transmission Rate Control for Node-Lifetime Maximization

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