Title
An energy-efficient scheme in next-generation sensor networks
Abstract
A next-generation network (NGN) is an advanced network that exploits multiple broadband and QoS-enabled transport technologies to provide telecommunication services. The principles and requirements of convergence of wireless sensor networks are likely to deliver all the desired benefits of NGN and should be carefully studied. In this paper, we focus on the power consumption topic, which is a fundamental concern in wireless multimedia sensor networks (WMSNs). Node placement in WMSNs has considerable impact on network lifetime. In this paper, we have investigated and developed a power-efficient node placement scheme (PENPS) in linear WMSNs, which can minimize the average energy consumption per node and maximize the network lifetime. The analysis of PENPS and the comparison of performance with the equal-spaced placement scheme (EPS) show that PENPS scheme can significantly decrease the average energy consumption per node, which can prolong the lifetime of sensor nodes and sensor networks effectively. Copyright © 2010 John Wiley & Sons, Ltd. This paper investigates and develops a power-efficient node placement scheme (PENPS) in linear wireless multimedia sensor networks, which can minimize the average energy consumption per node and maximize the network lifetime. The analysis of PENPS and the comparison of performance with the equal-spaced placement scheme (EPS) show that PENPS scheme can significantly decrease the average energy consumption per node, which can prolong the lifetime of sensor nodes and sensor networks effectively. Copyright © 2010 John Wiley & Sons, Ltd.
Year
DOI
Venue
2010
10.1002/dac.v23:9/10
Int. J. Communication Systems
Keywords
Field
DocType
energy efficient,sensor network
Convergence (routing),Key distribution in wireless sensor networks,Next-generation network,Efficient energy use,Computer science,Computer network,Broadband,Real-time computing,Telecommunications service,Wireless sensor network,Energy consumption
Journal
Volume
Issue
ISSN
23
9‐10
1074-5351
Citations 
PageRank 
References 
15
0.68
3
Authors
5
Name
Order
Citations
PageRank
Naixue Xiong12413194.61
Ming Cao2181.12
Athanasios V. Vasilakos312735523.55
Laurence Tianruo Yang4304.05
Fan Yang522640.24