scholarly journals On Energy Efficiency in Collaborative Target Tracking in Wireless Sensor Network: A Review

2013 ◽  
Vol 15 (3) ◽  
pp. 1210-1222 ◽  
Author(s):  
Oualid Demigha ◽  
Walid-Khaled Hidouci ◽  
Toufik Ahmed
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Kirti Hirpara ◽  
Keyur Rana
Keyword(s):  
Energy Efficiency ◽  
Kalman Filter ◽  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Energy Efficient ◽  
Base Station ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Prediction Techniques

Target tracking is one of the most widely used applications of wireless sensor network (WSN). Efficient usage of energy is a key issue in WSN application such as target tracking. Another important criterion is a tracking accuracy that can be achieved by using appropriate tracking mechanism. Because of the special characteristic of WSN, there is a trade-off between tracking accuracy and power consumption. Our aim is to improve tracking accuracy as well as provide energy-efficient solution by integrating the concept of clustering and prediction techniques. This paper presents Energy-Efficient Constant Gain Kalman Filter based Tracking (EECGKFT) algorithm to optimize the energy usage and to increase the tracking accuracy. There is also a need to collect data from network having a mobile Base Station (BS). Hence, performance of proposed algorithm is analyzed for a static BS and also for mobile BS. The results depict that proposed algorithm performs better compared to the existing algorithms in energy efficiency and prediction accuracy. Analysis of results validates that EECGKFT increases energy efficiency by reducing transmission of unnecessary data in the sensor network environment and also provides good tracking results.

scholarly journals Estimation of Optimum Rendezvous Point for Mobile Sink (ORP-MS) in WSN

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1322 ◽  
Author(s):  
Vrince Vimal ◽  
Madhav J Nigam
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Throughput ◽  
Mobile Sink ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Heads ◽  
Rendezvous Point ◽  
Coverage Holes

Clustering of the sensors in wireless sensor network is done to achieve energy efficiency. The nodes, which are unable to join any cluster, are referred to as isolated nodes and tend to transfer information straight to the base station. It is palpable that isolated nodes and cluster heads communicate with the base station and tend to exhaust their energy leaving behind coverage holes. In this paper, we propose the innovative clustering scheme using mobile sink approach to extend networks lifetime. The proposed (ORP-MS) algorithm is implemented in MATLAB 2017a and the results revealed that the proposed algorithm outdid the existing algorithms in terms networks lifetime and energy efficiency simultaneously achieved high throughput.  

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