scholarly journals Smart Power Management and Delay Reduction for Target Tracking in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Juan Feng ◽  
Baowang Lian ◽  
Hongwei Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Power Management ◽  
Transmission Delay ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Information ◽  
Smart Power ◽  
Delay Reduction

Energy efficiency and data transmission delay are critical issues for mobile target tracking wireless sensor networks, in which abundant sensor nodes are deployed to collect the target information from the sensing field. At present, many existing works have been concentrated on extending network lifetime, while less emphasis was placed on both transmission delay reduction and the adaptive sleep of sensor nodes considering the application constraints. In this paper, we propose a smart power management and delay reduction approach for target tracking based on a grid network structure, where sensor nodes adjust their sleep intervals according to the distance between the node and the moving target. Sensor nodes can distributedly decide their sleeping time using the information from their neighbors. Furthermore, we propose a real-time chain to relay the sensed data for transmission delay reduction. The proposed approach allows sensor nodes that are far away from the target to sleep more and make the target information forward to the sink in time. Experimental results verify that, in contrast to adaptive coordinate and local power management protocols, the proposed approach achieves a significant energy saving while maintaining a short transmission delay.

scholarly journals A Comparative Study of Target Tracking Approaches in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Asmaa Ez-Zaidi ◽  
Said Rakrak
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Directions ◽  
Wide Range ◽  
Comprehensive Survey ◽  
The Subject ◽  
Intense Research

Wireless sensor networks have been the subject of intense research in recent years. Sensor nodes are used in wide range of applications such as security, military, and environmental monitoring. One of the most interesting applications in wireless sensor networks is target tracking, which mainly consists in detecting and monitoring the motion of mobile targets. In this paper, we present a comprehensive survey of target tracking approaches. We then analyze them according to several metrics. We also discuss some of the challenges that influence the performance of tracking schemes. In the end, we conduct detailed analysis and comparison between these algorithms and we conclude with some future directions.

Wireless Sensor Networks to Predict the Range Covered by the Priority Scheduling Algorithm for Multi-Target Tracking

2014 ◽  
Vol 687-691 ◽  
pp. 1071-1075
Author(s):  
Yong Long Zhuang ◽  
Xiao Lan Weng ◽  
Xiang He Wei
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Scheduling Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Detection Range ◽  
Multi Target Tracking ◽  
The Relationship

Research on multi-target tracking wireless sensor networks, the main problem is how to improve tracking accuracy and reduce energy consumption. Proposed use of forecasting methods to predict the target state, the selection of target detection range forecast based on the relationship between states and between sensor nodes deployed. And in accordance with the selected detection range, to wake up and form a cluster to track the target. In multi-target tracking will use to adjust the detection range, time to time to separate the conflict node of conflict, in order to achieve a successful track multiple targets. Simulation results show that the proposed method can indeed improve the chances of success of the track.

scholarly journals Security Issues of Wireless Sensor Networks Based on Target Tracking

2016 ◽  
Vol 12 (10) ◽  
pp. 97
Author(s):  
Jun Ma
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Large Scale ◽  
Target Location ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Issues ◽  
Head Node

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">In this paper the dynamic point target tracking is studied, and a message driven target tracking algorithm based on non-ranging is proposed by combining the actual sensor node characteristics. By tissue tracking around the target sensor nodes collaborate to establish a tracking cluster and the cluster head node for data fusion to accurately locate the target and thus formed a kind of efficient and precise distributed dynamic tracking cluster algorithm of DTC. The tracking cluster can follow the target as a shadow, and it can realize the management of the cluster itself and constantly report to the sink node to the target location. The protocol is especially suitable for the use of large scale wireless sensor networks with low node cost.</span>

scholarly journals Energy and Delay Constrained Packet Transmission MAC Protocol for Wireless Sensor Networks

2018 ◽  
Vol 7 (4.4) ◽  
pp. 33
Author(s):  
Jin Young Lee ◽  
Seong Cheol Kim ◽  
Hye Yun Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mac Protocol ◽  
Packet Transmission ◽  
Transmission Delay ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Destination Node ◽  
Event Driven ◽  
Burst Data

In this paper, we present an energy and time constrained packet transmission MAC Protocol which we call ED-MAC for event-driven applications such as fire detection in wireless sensor networks (WSNs). In this kind of WSNs, sensor nodes send a burst data when there is an event in the measuring field. These events are usually critical, so the measured burst data should be transmitted in limited time to their final destination node, sink node. Therefore, the packet transmission delay is considered to be a crucial requirement in event-driven applications. The ED-MAC protocol reduces the packet transmission delay and average node energy consumption in comparison to existing related MAC protocols. 

scholarly journals Implementation of ITREE-MAC Protocol for Effective Power Management and Time Synchronization in Wireless Sensor Networks

2019 ◽  
Vol 8 (12) ◽  
pp. 863-868
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Power Management ◽  
Time Synchronization ◽  
Mac Protocol ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Packet Delivery

The advent of wireless sensor networks (WSN) has led in recent revolutionary modifications in electronic and communication systems .Various applications in wireless network needs time synchronization as a basic requirement. Wireless sensor nodes are tiny in size and operated at low energy to record the required physical parameters for low-duty apps. Because nodes have a tiny battery with a lower life span, power management is crucial for long-term working with the sensors. Wireless Sensor Network is a set of sensor nodes used to send and receive data packets from one sensor node to another. This work aims to propose three protocols such as Receiver Centric MAC protocol (RC-MAC), Improved Receiver Centric MAC protocol (IRC-MAC) and Intelligent Traffic and Resource Elastic Energy MAC protocol (ITREE-MAC) for the WSN environment and based on the application. These protocols help in studying the parametric measures such as delay, energy consumption, packet delivery ratio and throughput. The comparative analysis is carried out to select the more efficient protocol for the application of wireless sensor networks. This research work is implemented and simulated by using NS 2.35 Simulator. Based on the simulation results obtained for proposed protocols using the NS2 simulator. The performance of ITREE-MAC protocol shows better results for parameters end to end delay, energy consumption, throughput, packet delivery ratio. So the overall performance of ITREE-MAC protocol is much better than other three IEEE802.11 MAC, RC-MAC and IRC-MAC protocols. As per results obtained, energy consumption is less in ITREE-MAC protocol and save the power in wireless sensor network applications

scholarly journals Energy-Balanced Multisensory Scheduling for Target Tracking in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3585 ◽  
Author(s):  
Juan Feng ◽  
Hongwei Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Cluster Head ◽  
Sleep Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Scheduling ◽  
Scheduling Strategy ◽  
Multiple Sensors

One important way to extend the lifetime of wireless sensor networks (WSNs) is to manage the sleep scheduling of sensor nodes after they are deployed. Most of the existing works on node scheduling mainly concentrate on nodes which have only one sensor, and they regard a node and its sensor modules as a whole to manage sleep scheduling. Few works involve the sensed modules scheduling of the sensor nodes, which have multiple sensors. However, some of the sensed modules (such as video sensor) consume a lot of energy. Therefore, they have less energy efficiency for multisensory networks. In this paper, we propose a distributed and energy-balanced multisensory scheduling strategy (EBMS), which considers the scheduling of both the communication modules and the sensed modules for each node in target tracking WSNs. In EBMS, the network is organized as clustering structures. Each cluster head adaptively assigns a sleep time to its cluster members according to the position of the members. Energy-balanced multisensory scheduling strategy also proposes an energy balanced parameter to balance the energy consumption of each node in the network. In addition, multi-hop coordination scheme is proposed to find the optimal cooperation among clusters to maximize the energy conservation. Experimental results show that EBMS outperformed the state-of-the-art approaches.

scholarly journals Routing Optimization and Secure Target Tracking in Distributed Wireless Sensor Networks

2012 ◽  
pp. 396-419
Author(s):  
Majdi Mansouri ◽  
Khoukhi Lyes ◽  
Hichem Snoussi ◽  
Cédric Richard
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Cluster Head ◽  
Target Position ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Routing Optimization ◽  
Relay Location ◽  
Communication Path

Due to the limited energy supplies of nodes in wireless sensor networks (WSN), optimizing their design under energy constraints, reducing their communication costs, and securing their aggregated data are of paramount importance. To this goal, and in order to efficiently solve the problem of target tracking in WSN with quantized measurements, the authors propose to jointly estimate the target position and the relay location, and select the secure sensor nodes and the best communication path. Firstly, the authors select the appropriate group in order to balance the energy dissipation and to provide the required data of the target in the WSN. This selection is also based on the transmission power between a single sensor and a cluster head (CH). Secondly, the authors detect the malicious sensor nodes based on the information relevance of their measurements. Thirdly, they select the best communication path between the candidate sensor and the CH. Then, the authors estimate jointly the target position and the relay location using Quantized Variational Filtering (QVF) algorithm. The selection of candidate sensors is based on multi-criteria function, which is computed by using the predicted target position provided by the QVF algorithm. The proposed algorithm for the detection of malicious sensor nodes is based on Kullback-Leibler distance between the current target position distribution and the predicted sensor observation, while the best communication path is selected as well as the highest signal-to-noise ratio (SNR) at the CH. The efficiency of the proposed method is validated by extensive simulations in target tracking for wireless sensor networks.

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