Preprocessing Techniques for High-Efficiency Data Compression in Wireless Multimedia Sensor Networks

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.

Wireless multimedia sensor networks with sensing and processing abilities of multimedia data have recently emerged as one of the most important technologies for high quality monitoring. The routing scheme for multimedia data is an important research issue addressed in wireless multimedia sensor networks. In this paper, we propose a disjointed multipath routing scheme for real-time data transmission in wireless multimedia sensor networks. The proposed scheme uses a hybrid routing protocol based on Bluetooth and Zigbee in order to overcome the limitation of low bandwidth in conventional sensor networks. The proposed scheme also performs disjointed multipath routing based on competition to alleviate the delay of routing path setup. To show the superiority of our proposed scheme, we compare it with the existing scheme through performance evaluation. Our experimental results show that our proposed scheme reduces the end-to-end delay by about 30% and the routing path setup costs by about 22% over the existing scheme. Our scheme also increases data reception rates by about 690% over the existing scheme on average.

In the networking research community, Wireless Sensor Networks (WSN) has achieved considerable significance in the past years and it can be used in extensive variety of domains. In recent years, the tremendous growth of WSN does not meet all the necessities of environmental monitoring. Wireless Multimedia Sensor Network (WMSN) is required to fulfill the requirements of environment monitoring. In this paper, 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.

Improvements in nanotechnology have introduced contemporary sensory devices that are capable of gathering multimedia data in form of images, audio and video. Wireless multimedia sensor networks handles such type of heterogeneous traffic. Since these networks are an emergent of wireless sensor networks, they inherit constraints that exist in these traditional networks. This paper is a survey of characteristics and requirements of wireless multimedia sensor networks and approaches to mitigating existing challenges in these networks. Further presents a review of recent research on multipath routing protocols and multi-channel media access protocols that offer quality of service assurances in handling multimedia data. The survey shows that there still exist bottlenecks in current routing solutions when applied to wireless multimedia sensor networks due to the nature of traffic involved as well as inherent characteristics, requirements and constraints. The findings are useful in the discovery of solutions to the challenges and issues. The authors further suggest approaches and plausible solutions to the problems in order to assist in the development of protocols that achieve quality of service in wireless multimedia sensor networks.

Transmission of multimedia data over wireless multimedia sensor networks (WMSNs) is a challenging task and requires an effective design for the transport layer protocols to meet both the resource‐constrained WMSN and the requirements of multimedia streaming. The standard transport layer protocols (eg, UDP, TCP, SCTP, and DCCP) have been shown inefficient to transport multimedia data over WMSN without modification in the design of end‐to‐end (ETE) reliability and the congestion control mechanisms. This paper proposed a lightweight reliability mechanism for datagram congestion control protocol (LW‐DCCP) over WMSNs. The lightweight reliability mechanism consists of caching and retransmission algorithms that consider the resource‐constrained WMSNs and the requirements of video streaming over WMSN. Moreover, this paper presents an important modification to TCP‐friendly rate control congestion control mechanism that calculates the loss interval based on intracoded frame sending time. The LW‐DCCP has been evaluated through comprehensive simulation experiments and compared with baseline transport protocols using the 2 frameworks (Eval‐SCTP and Eval‐DCCP) that we developed in NS‐2 environment. The experimental results show that LW‐DCCP ensures effective congestion control and ETE reliability for video transmission over WMSN. In addition, LW‐DCCP experiences better performance in terms of energy consumption, ETE delay, jitter delay, frame delivery ratio, frame peak signal‐to‐noise ratio, and visual quality of the received video as compared to the baseline transport layer protocols.

The use of wireless multimedia sensor networks (WMSNs) for surveillance applications has attracted the interest of many researchers. As with traditional sensor networks, it is easy to deploy and operate WMSNs. With inclusion of multimedia devices in wireless sensor networks, it is possible to provide data to users that is more meaningful than that provided by scalar sensor-based systems alone; however, producing, storing, processing, analyzing, and transmitting multimedia data in sensor networks requires consideration of additional constraints, including energy, processing power, storage capacity, and communication. Furthermore, as multimedia sensors produce much more data than scalar sensors, more manpower is required to analyze multimedia data. To overcome these constraints and challenges, this paper aimed to propose a system architecture and a set of procedures for WMSNs that facilitate automatic classification of moving objects using scalar and multimedia sensors. Methods and standards for detecting and classifying a moving object, as well as transmission of the results, are described in detail. The hardware for each sensor node includes a built-in camera, a passive infrared motion sensor, a vibration sensor, and an acoustic sensor. An application using our proposed methods was developed and embedded in the multimedia sensor node. In addition, a sink station was set up and the data produced by the sensor network was collected by this server. The classification performance of the application was tested using video recorded by the sensor node. The effect of the proposed methods on power consumption was also tested and measured. The experimental results show that the proposed approach is sufficiently lightweight to be used for real-world surveillance applications.

The availability of low-cost hardware coupled with the advancement of VLSI technology has promoted the development of wireless multimedia sensor network (WMSN). However, the strict constraints in terms of processing power, storage, bandwidth etc. pose a great challenge to data processing in WMSN. In this paper we propose an energy-saving audio data compression technique for WMSN combining wavelet lifting with a newly proposed difference detection technique for an application domain where data are correlated and placed in a 2D grid. In addition to capturing spatial correlation by wavelet, this scheme captures temporal correlation by introducing the difference detection round. A routing scheme is also proposed with a target to reduce energy consumption further. Performance of the proposed scheme is evaluated through analysis on design and simulation results. While analysis on design establishes design feasibility, simulation results evaluate efficacy of the scheme in terms of two conflicting parameters viz. energy consumption and SNR. Finally the comparative results confirm our scheme's supremacy over the competing scheme in both respects.

Advancements in Complementary Metal Oxide Semiconductor (CMOS) technology have enabled Wireless Sensor Networks (WSN) to gather, process and transport multimedia (MM) data as well and not just limited to handling ordinary scalar data anymore. This new generation of WSN type is called Wireless Multimedia Sensor Networks (WMSNs). Better and yet relatively cheaper sensors that are able to sense both scalar data and multimedia data with more advanced functionalities such as being able to handle rather intense computations easily have sprung up. In this paper, the applications, architectures, challenges and issues faced in the design of WMSNs are explored. Security and privacy issues, over all requirements, proposed and implemented solutions so far, some of the successful achievements and other related works in the field are also highlighted. Open research areas are pointed out and a few solution suggestions to the still persistent problems are made, which, to the best of my knowledge, so far have not been explored yet.

The smart grid incorporates a two-way communication system between customers and the utility for advanced monitoring and intelligent control of supply and demand. Wireless multimedia sensor network can be treated as an organic supplement and a peripheral network in this two-way communication system. However, the challenging smart grid environment makes it difficult to achieve a high quality of service in wireless multimedia sensor network. This article proposes a prioritization mechanism that considers the heterogeneous characteristics of smart grid traffic. Specifically, an innovative channel allocation and traffic scheduling scheme, named the preemptive tidal flow queuing model, is presented. This scheme achieves differentiated services for diverse communication data when the wireless multimedia sensor network accesses the core network and ensures the performance for high-priority data at the expense of the performance for low-priority data. Simulation analyses show that the performance for high-priority messages can be reliably guaranteed and that the preemptive tidal flow queuing model satisfies the requirements for a wireless multimedia sensor network operating in the smart grid environment. This article offers three main contributions: the development of a prioritization mechanism specifically for a wireless multimedia sensor network in the smart grid environment, the proposal of the preemptive tidal flow queuing model, and the presentation of formulas and simulations to verify the performance of the preemptive tidal flow queuing model.

The advent of efficient short range radio communication coupled with advancement in miniaturization of computing devices has enabled the development of wireless multimedia sensor network (WMSN). Energy is one of the scarcest resources in such networks, especially it is scarce in transmitting multimedia data. This work presents an energy-saving image compression scheme. The nodes in WMSN are equipped with Colour Filter Array (CFA) using Bayer Pattern. Considering alternate column dropping of pixel array of the captured image is one of the viable techniques for low-overhead image comprssion, Bayer CFA lacks in features by means of which image pixel may be reconstructed using its neighbouring pixel information. So primarily we design a new CFA (NCFA) to overcome the said problems of Bayer CFA. Subsequently, the compression scheme is proposed where the alternate columns of the pixel array of each of the macroblocks of an image captured through NCFA, are dropped. At the high-end receiving node (e.g. sink), image is reconstructed from the sequentially transmitted macroblocks. Performance of the scheme is evaluated and compared through qualitative and quantitative analyses. The results show the present scheme's dominance over all the variants of the competing scheme in terms of both energy-efficiency and reconstruction quality.

Wireless multimedia sensor networks (WMSNs) are getting used in numerous applications nowadays. Many robust energy-efficient routing protocols have been proposed to handle multimedia traffic-intensive data like images and videos in WMSNs. It is a common trend in the literature to facilitate a WMSN with numerous sinks allowing cluster heads (CHs) to distribute the collected data to the adjacent sink node for delivery overhead mitigation. Using multiple sink nodes can be expensive and may incur high complexity in routing. There are many single-sink cluster-based routing protocols for WMSNs that lack in introducing optimal path selection among CHs. As a result, they suffer from transmission and queueing delay due to high data volume. To address these two conflicting issues, we propose a data aggregation mechanism based on reinforcement learning (RL) for CHs (RL-CH) in WMSN. The proposed method can be integrated to any of the cluster-based routing protocol for intelligent data transmission to sink node via cooperative CHs. Proposed RL-CH protocol performs better in terms of energy-efficiency, end-to-end delay, packet delivery ratio, and network lifetime. It gains 17.6% decrease in average end-to-end delay and 7.7% increase in PDR along with a network lifetime increased to 3.2% compared to the evolutionary game-based routing protocol which has been used as baseline.

Wireless multimedia sensor network (WMSN) comprising of miniature sensor nodes is capable of processing multimedia data traffic such as still images and video from the environment. There is a wide range of applications which get benefited from such network. Unprocessed multimedia transmission is always expensive in terms of processing power, storage, and bandwidth. So, data processing is a challenge in WMSN. Exploring low-overhead data compression technique is a solution towards this problem. In this work we propose an energy saving image compression technique for WMSN using curve fitting technique considering the application of post-disaster situation analysis through image capturing of the affected area. Upon employing the method on the macroblocks of sensory image, curve fitting coefficients are generated and transmitted towards the sink thereby saves energy by transmitting reduced volume of data. Finally the design feasibility along with simulation results including statistical analysis is presented to evaluate efficacy of the scheme in terms of two conflicting parameters viz. energy consumption and peak signal to noise ratio. The comparative results confirm our scheme’s supremacy in WMSN application domain over existing methods.

Technological developments in the micro-electronics and wireless communications, in addition to obtain ability of cheap CMOS cameras and micro phones, have led to appearance of next generation networks known as Wireless Multimedia Sensor Networks (WMSNs). WMSN can retrieve image, video, audio and scalar sensor data from the physical environment. Wireless multimedia sensor networks will not only enhance existing sensor network applications like tracking, home automation, and environmental monitor, but they will also enable several new applications such as: Advanced Health Care Delivery, Industrial Process Control, Traffic Congestion Avoidance Systems. In this paper a technique called EEQAR is used to select energy efficient QoS routing which is based on cluster hierarchy. To achieve a enhanced performance, EEQAR routing implements cellular topology to form the cluster structure and balance the energy consumption by structure movement. The simulation results shows that EEQAR performs high efficiency on network lifetime and QoS in wireless multimedia sensor network.

As the image sensor modules such as complementary metal oxide semiconductor (CMOS) camera sensors and digital microphones are developed, security is required such as data storage and transmission in wireless multimedia sensor network technology and application. Data transmitting through existing sensor network routing path has the problem of high vulnerability to information leakage by sniffing attacks. Therefore, the study proposes one of the protection technique from a sniffing attack, which protects from attacking. The proposed technique is based on the movement of risk factors that sets priority of the geographically proximal sensor nodes according to defense readiness condition (DEFCON) and data importance. According to the simulation results, it achieved approximately 5.8% transmission delay time compared with existing sensor network path but the security was confirmed as eavesdropping rate where risk factors can attack and eavesdrop decreased by approximately 18.5%.

Collaborative in-network processing has shown to efficiently reduce the per-node processing and transmission requirements in wireless multimedia sensor networks. When the camera nodes are randomly distributed in an area of interest, it is very likely that their fields of view would overlap causing the corresponding visual information to be highly correlated. In applied wireless multimedia sensor networks, heterogeneous camera nodes with different sensing radii and angles of view are usually deployed, which has shown to enhance the overall network performance and lifetime. This paper introduces a new correlation model to exploit the correlation characteristics among heterogeneous camera nodes for wireless multimedia sensor networks. The proposed model, of which a closed-form analytical correlation function was derived, takes into consideration different sensing parameters of the camera nodes; such as the sensing radii and the angles of view. The simulation results demonstrated that the proposed model outperforms the state-of-the-art in terms of the accuracy of estimating the correlation characteristics, the information gain, and the distortion ratio.