Title
Energy-saving in Wireless Sensor Networks Considering Mobile Sensor Nodes
Abstract
Event detection is a major issue for applications of wireless sensor networks. In order to detect an event, a sensor network has to identify which application-specific incident has occurred based on the raw data gathered by individual sensor nodes. Sensor networks are a sensing, computing and communication infrastructure that are able to observe and respond to phenomena in the natural environment and in our physical and cyber infrastructure. In this paper, we propose a sensor network with mobile and static sensor nodes. We investigate how the sensor network performs in the case when the sensor nodes move. We compare the simulation results for two cases: the sensor network with stationary sensor nodes and multi mobile sensor nodes. The simulation results have shown that for the multi mobile sensors, the good put is unstable. Also, the good put of stationary sensors is better than multi mobile sensors. In case of consumed energy, the consumed energy of multi mobile sensors is better than stationary sensors. Also, the RE of multi mobile sensors is better than stationary sensors.
Year
DOI
Venue
2011
10.1109/CISIS.2011.43
CISIS
Keywords
Field
DocType
multi mobile sensor node,wsn,event detection,sensor network,radio model,individual sensor node,multi mobile sensor,depletion,stationary sensor nodes,wireless sensor network,goodput,routing efficiency,static sensor node,stationary sensor node,mobile radio,static sensor nodes,stationary sensor,multimobile sensor nodes,energy-saving,sensor nodes move,wireless sensor networks,application-specific incident,simulation result,multi mobile sensors,mobile sensor nodes,mobile communication,mobile computing,mobile computer,network topology,data gathering,natural environment,protocols
Sensor node,Key distribution in wireless sensor networks,Computer science,Soft sensor,Visual sensor network,Computer network,Brooks–Iyengar algorithm,Mobile wireless sensor network,Sensor web,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-0-7695-4373-4
1
0.35
References 
Authors
17
5
Name
Order
Citations
PageRank
Tao Yang122322.41
Gjergji Mino216816.61
Leonard Barolli32178333.62
arjan durresi41446145.94
Fatos Xhafa53433343.33