... multipath
routing inwirelesssensor networks, ” ACM Wireless Networks,
vol. 14, no. 4, pp. 465–478, 2008.
[22] A. B. Bagula and K. G. Mazandu, “Energy constrained
multipath routing inwirelesssensor networks, ” ... subset N
0
⊆ N[ı]ofneighborsofı satisfying
QoS requirement of data source and minimizing the total
energy transmission by including in its set of constraints a
geo-spatial constraint expressed by
F
(
ı,
j
)
≤ ... addresses the issue of multi-constrained
QoS inwirelesssensornetworks by mapping a path-based
model into a probabilistic routing scheme. Using the work
done in [21]asbenchmark,weproposedin[22] the
Energy...
... depending on the
type of application the sensors are used for or where it is situated. The types of topologies used
for sensornetworks include star, mesh, star-mesh etc. [2]
In Wirelesssensor ... routing beacons or reprogramming of the complete network.
Given that sensornetworks usually compose of nodes that are not physically protected in certain
environments, these networks contain ... Heinzelman, W. B. (n.d.). Wirelesssensor network protocols. Department of
Electrical and Computer Engineering University of Rochester,
International Journal of Computer Science & Engineering...
... PROBLEM IN
WSN
In the preceding discussions, we introduced the notion of
event-to-sink reliability in WSN and pointed out the inapplica-
bility of existing transport solutions. Before proceeding ... Ken Byers Distinguished Chair
Professor of the School of Electrical and Computer
Engineering, and Director of the Broadband and
Wireless Networking Laboratory, Georgia Institute
of Technology, ... Atlanta. His current research interests
are insensornetworks and next-generation wireless
networks. He is the Editor -in- Chief of Computer Networks (Elsevier) and of
Ad Hoc Networks Journal (Elsevier).
Dr....
... fading channels inwirelesssensornetworks
optimal and suboptimal estimators
Xin Wang
∗ 1
and Chenyang Yang
1
1
School of Electronics and Information Engineering, Beihang University, Beijing ... designed in [10–12]. The optimal trade-off between the number of active sensors
and the quantization bit rate of each sensor is investigated u nd e r total energy constraint in [13]. In binary
2
symmetrical ... Furthermore, since the estimation quality of the first stage is available, we use BLUE to obtain
ˆ
θ for exploiting the quality information instead of using the MLE in the M-step as in the standard...
... exhaustive searching, the overall complexity of the MLE
is O(M
2
N
2
).
18
1 Introduction
Wireless sensornetworks (WSNs) consist of a number of sensors deployed in a field to collect information,
for ... designed in [10–12]. The optimal trade-off between the number of active sensors
and the quantization bit rate of each sensor is investigated u nd e r total energy constraint in [13]. In binary
2
During ... Furthermore, since the estimation quality of the first stage is available, we use BLUE to obtain
ˆ
θ for exploiting the quality information instead of using the MLE in the M-step as in the standard...
... details
1
School of Electronics and Information Engineering, Beijing Jiaotong
University, Beijing 100044, PR China
2
TEDA College, Nankai University, Tianjin
300457, PR China
3
School of Computer Engineering, ... Washington, 1279–1284
(November 2007)
23. D Ma, MJ Er, B Wang, HB Lim, K-hop statistics inwirelesssensor networks,
in Proc International Conference on Intelligent Sensors, SensorNetworks and
Information ... Yanchao Niu
1
Abstract
In wirelesssensornetworks (WSNs), location information plays an imp ortant role in many fundamental services
which includes geographic routing, target tracking, location-based...
... algorithms
in the remaining of the paper. Each sensor node i, including
the base station, maintains the following variables.
(i) Father
i
: the father of the sensorin the final spanning
tree. The base ... Cuti, C. Gardiner, C. Lynn, and
P. Kruus, “TinyPK: securing sensornetworks with public key
technology,” in Proceedings of the 2004 ACM Workshop on
Security of Ad Hoc and SensorNetworks (SASN ... manage-
ment inwirelesssensornetworks by leveraging initial trust,”
SDL Technical Report SRI-SDL-04-02, 2004.
EURASIP Journal on Wireless Communications and Networking 3
Key management
in WSNs
Using...
... estimation inwirelesssensor networks, ” in Proceedings of
the 4th International Symposium on Information Processing in
SensorNetworks (IPSN ’05), pp. 324–331, April 2005.
[12] A. Srinivasan, ... statistical
methods for securing wireless localization insensor networks, ”
in Proceedings of the 4th International Symposium on Informa-
tion Processing inSensorNetworks (IPSN ’05), pp. 91–98, ... 2005.
[9] D. Liu, P. Ning, and W. K. Du, “Attack-resistant location
estimation insensor networks, ” in Proceedings of the 4th
International Symposium on Information Processing in Sensor
Networks (IPSN...
... the diversity gain. In the future, we intend to investigate
the effects of fading, link failure, and other practical condi-
tions when utilizing the DAC algorithm inwireless sensor
networks.
References
[1] ... “A scheme for robust distributed
sensor fusion based on average consensus,” in Proceedings of
the 4th International Symposium on Information Processing in
SensorNetworks (IPSN ’05), pp. 63–70, ... improve
the convergence rate of DAC algorithms inwireless sensor
networks. The author of [3] demonstrates that the conver-
gence rate of DAC can be increased by using the “small-
world” phenomenon....
... “Distributed environmental mon-
itorning using random sensor networks, ” in Proceedings of
the 2nd International Workshop on Information Processing in
Sensor Networks, pp. 582–592, Palo Alto, Calif, ... surrounding this
area: in the example in Figure 1(a) there are six sensors.
(In the remainder of this paper, by sensor we will denote
the wireless transceiver which includes the sensing element.
However, ... U. Mitra, “Boundary estimation in sensor
networks: theory and methods,” in Proceedings of the 2nd
International Workshop on Information Processing in Sensor
Networks, pp. 80–95, Palo Alto, Calif,...
... schemes. In these schemes, nodes differentiate
their roles as service sensors and worker sensors. Service
sensors are used to disseminate keying information to the
work sensors in the vicinity after ... scheme for wirelesssensornetworks using
deployment knowledge,” in Proceedings of the 23rd Annual
Hindawi Publishing Corporation
EURASIP Journal on Wireless Communications and Networking
Volume ... F.
Mueller, and M. Sichitiu, “Analyzing and modeling encryption
overhead for sensor network nodes,” in Proceedings of the 2nd
ACM International Workshop on WirelessSensorNetworks and
Applications (WSNA...
... analog forwarding transmission in an inhomoge-
neous gaussian sensor network,” in Proceedings of the 6th
IEEE Workshop on Signal Processing Advances in Wireless
14 EURASIP Journal on Wireless Communications ... position ofsensor i with respect
to the origin in the XY-plane. Note that we can view these
examples as specific realizations of the deployment of the
sensors. Assuming the source at the origin and ... performance gain compared to a uniform power allocation scheme.
1. Introduction
Wireless sensor networking is an emerging technology which
finds application in many fields including environment
and...
... “Distributed power control in
sensor networks: a game theoretic approach,” in Proceedings of
the 6th International Workshop Distributed Computing (IWDC
’04), vol. 3326 of Lecture Notes in Computer Science, ... theory inwirelesssensor networks, ” in Pro-
ceedings of the IEEE Wireless Communications and Networking
Conference (WCNC ’08), pp. 1483–1488, April 2008.
[11] L. Zhao, J. Zhang, and H. Zhang, “Using ... contention
window (i.e., properly estimating the number of competing
nodes) as tuning parameter for adjusting transmission
probability of a node.
2.2. Estimation of Compet ing Nodes. In the proposed...
... by a set of UWB sensors located in an of ce
environment with known locations. The problem tackled in this article is that of a data fusion
center in charge of tracking the position of the robot ... theoretical point of view, all necessary information to infer information
of the unknown states resides in the posterior distribution.
Bayesian filtering involves the recursive estimation of states ... within Bayesian
filtering, which is outlined in Section 3, along with some popular filtering algorithms.
2.1. Testing for normality of UWB-based distance measurements
Before delving into the use of...
... Set-Partitioning in Hierarchical Trees
In SPIHT coding, three sets of coordinates are encoded [5]:
Type H set which holds the set of coordinates of all SOT
roots, Type A set which holds the set of coordinates ... offsprings of node
(i, j) be referred to as “ABCD.” Here, a total of 15 possible
combinations of ABCD can be obtained as shown in Tab l e 3.
The percentage of occurrence of possible outcomes of ... Architecture
Using Strip-Based Processing for Implementation in
WirelessSensor Networks
Li Wern Chew, Wai Chong Chia, Li-minn Ang, and Kah Phooi Seng
Department of Electrical and Electronic Engineering,...