عنوان مقاله :
Designing a Prediction-based Clustering Algorithm for Target Tracking in Wireless Sensor Networks
عنوان به زبان ديگر :
Designing a Prediction-based Clustering Algorithm for Target Tracking in Wireless Sensor Networks
پديدآورندگان :
Deldar Fatemeh نويسنده Department of Computer Engineering Ferdowsi University of Mashhad , Yaghmaee Mohammad Hossien نويسنده Department of Computer Engineering Ferdowsi University of Mashhad
كليدواژه :
target tracking , wireless sensor network , Clustering , Location prediction , localization , WSNs
عنوان كنفرانس :
The 2011 International Symposium on;computer network and dostributed systems
چكيده فارسي :
In recent years, energy consumption has been a critical
constraint in wireless sensor networks (WSNs) and their
applications. Target tracking is one of the most important of
these applications. Using prediction-based methods for target
tracking in WSNs, can improve energy consumption highly in
these networks. Prediction-based methods, with prediction the
target trajectory and its next location, only activate special nodes
of network for tracking and rest of nodes remain in sleep mode
for energy saving. Proposed algorithm uses a prediction-based
method in a clustered network. In this algorithm we use two
parameters, distance from predicted location and remaining
energy of nodes, for selection three sensor nodes for tracking.
شماره مدرك كنفرانس :
1758943
