Cluster-based Mobility Management for Target Tracking in Mobile Sensor Networks
被引:0
|
作者:
Prabhavathi, M.
论文数: 0引用数: 0
h-index: 0
机构:
Bharat Elect Ltd, Cent Res Lab, Bangalore 560013, Karnataka, IndiaBharat Elect Ltd, Cent Res Lab, Bangalore 560013, Karnataka, India
Prabhavathi, M.
[1
]
Rajeshwari, R.
论文数: 0引用数: 0
h-index: 0
机构:
Bharat Elect Ltd, Cent Res Lab, Bangalore 560013, Karnataka, IndiaBharat Elect Ltd, Cent Res Lab, Bangalore 560013, Karnataka, India
Rajeshwari, R.
[1
]
机构:
[1] Bharat Elect Ltd, Cent Res Lab, Bangalore 560013, Karnataka, India
来源:
2011 THIRD INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC)
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2011年
关键词:
Mobile Sensor Networks;
Clustering;
Node Scheduling;
Bayesian Estimation;
Target Tracking;
D O I:
暂无
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
Target tracking being an important application of Wireless Sensor Networks (WSN), engrossed lot of research across the world among WSN researchers. Node mobility in mobile sensor networks is a challenge that affects several other factors like energy consumption, coverage and connectivity changes etc., asking for a well managed node mobility scheme, balancing the associated trade-offs. In spite of the amount of research that goes in to this field there is a demanding need for works which concentrate on both the tracking quality as well as routing efficiency. The work presents a completely distributed efficient localized target tracking algorithm in a mobile sensor network. This work implements location based clustering and combines the concepts of cluster scheduling and intra cluster node scheduling to achieve reduction in energy consumption and efficiency in tracking. It proposes a new application specific deployment for efficient target detection.