© The Institution of Engineering and Technology
In wireless visual sensor networks, the effect of transmission losses on the visual quality of images is always varying and depends on the burst loss length. Among the existing transmission error control techniques, interleaving can improve the visual quality of images without redundant data incurred. Conventionally a larger interleaving data size will be more effective in converting long burst loss into isolated losses. This is at the cost of transmitting more pixels. But how to effectively reduce individual sensor's data load in an energy-constrained distributed transmission network is still an unsolved issue. An energy-aware interleaving algorithm is proposed to regulate burst loss effects by spreading out packets according to each image region's pre-calculated transmission income. Experimental results demonstrate that the proposed scheme can not only improve the end-to-end image transmission quality, but also prolong the lifetime of visual sensor network.
References
-
-
1)
-
Xinguang, X., Debin, Z., Qiang, W.: `A novel error concealment method for stereoscopic video coding', Proc. IEEE Int. Conf. on Image Processing (ICIP’07), September 2007, San Antonio, USA, p. 101–104.
-
2)
-
V. DeBrunner ,
L. DeBrunner ,
L. Wang ,
S. Radhakrishnan
.
Error control and concealment for image transmission.
IEEE Commun. Soc. Surveys Tutor.
,
1 ,
2 -
9
-
3)
-
Y.Q. Shi ,
X.M. Zhang ,
Z. Ni ,
N. Ansari
.
Interleaving for combating bursts of errors.
IEEE Circuits Syst. Mag.
,
1 ,
29 -
42
-
4)
-
Shih, E., Cho, S.H., Ickes, N.: `Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks', Proc. Seventh Annual Int. Conf. on Mobile Computing and Networking (MOBICOM’01), July 2001, Rome, Italy, p. 272–287.
-
5)
-
A.B. Cunha ,
B.R. de Almeida ,
C. Diógenes
.
Remaining capacity measurement and analysis of alkaline batteries for wireless sensor nodes.
IEEE Trans. Instrum. Meas.
,
6 ,
1816 -
1822
-
6)
-
C.B. Adsumilli ,
M.C.Q. Farias ,
S.K. Mitra ,
M. Carli
.
A robust error concealment technique using data hiding for image and video transmission over Lossy channels.
IEEE Trans. Circuits Syst. Video Technol.
,
11 ,
1394 -
1406
-
7)
-
Ferrigno, L., Marano, S., Paciello, V.: `Balancing computational and transmission power consumption in wireless image sensor networks', Proc. IEEE Int. Conf. on Virtual Environments, Human–Computer Interfaces, and Measurement Systems, July 2005, Giardini Naxos, Italy, p. 61–66.
-
8)
-
M. Chen ,
V.C.M. Leung ,
S. Mao ,
Y. Yuan
.
Directional geographical routing for real-time video communications in wireless sensor networks.
Comput. Commun.
,
17 ,
3368 -
3383
-
9)
-
Rahimi, M., Baer, R., Iroezi, O.I.: `Cyclops: in situ image sensing and interpretation in wireless sensor networks', Proc. Third ACM Conf. on Embedded Networked Sensor Systems (SenSys’05), November 2005, San Diego, CA, p. 192–204.
-
10)
-
Soro, S., Heinzelman, W.B.: `On the coverage problem in video-based wireless sensor networks', Proc. Second Int. Conf. on Broadband Networks (BROADNETS '05), October 2005, Boston, USA, p. 9–16.
-
11)
-
H. Wu ,
A.A. Abouzeid
.
Error resilient image transport in wireless sensor networks.
Comput. Netw.
,
15 ,
2873 -
2887
-
12)
-
Cucchiara, R.: `Multimedia surveillance systems', Proc. Third ACM Int. Conf. on Video Surveillance and Sensor Networks (VSSN'05), November 2005, Singapore, p. 1–10.
-
13)
-
J.C. Dagher ,
M.W. Marcellin ,
M.A. Neifeld
.
A method for coordinating the distributed transmission of imagery.
IEEE Trans. Image Process.
,
7 ,
1705 -
1717
-
14)
-
I.F. Akyildiz ,
T. Melodia ,
K.R. Chowdhury
.
A survey on wireless multimedia sensor networks.
Comput. Netw.
,
4 ,
921 -
960
-
15)
-
S. Mao ,
S. Lin ,
S.S. Panwar ,
Y. Wang ,
E. Celebi
.
Video transport over ad hoc networks: multistream coding with multipath transport.
IEEE J. Sel. Areas Commun.
,
10 ,
1721 -
1737
-
16)
-
Ma, H.D., Liu, Y.H.: `Correlation based video processing in video sensor networks', Proc. 2005 Int. Conf. on Wireless Networks, Communications and Mobile Computing, June 2005, Maui, USA, p. 987–992.
-
17)
-
D.J. Costello ,
J. Hagenauer ,
H. Imai ,
S.B. Wicker
.
Applications of error-control coding.
IEEE Trans. Inf. Theory
,
2531 -
2560
-
18)
-
http://www.xbow.com, accessed June 2010.
-
19)
-
B. Wang ,
W. Feng ,
S.-D. Zhang ,
H.-K. Zhang
.
Concurrent multipath transfer protocol used in ad hoc networks.
IET Commun.
,
7 ,
884 -
893
-
20)
-
Stanislav, F., Carlos, G., Mark, P.: `Distributed localization of networked cameras', Proc. Fifth Int. Conf. on Information Processing in Sensor Networks (IPSN’06), April 2006, Nashville, USA, p. 34–42.
-
21)
-
Hengstler, S., Prashanth, D., Fong, S., Aghajan, H.: `MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance', Proc. Sixth Int. Conf. on Information Processing in Sensor Networks (IPSN '07), April 2007, Massachusetts, USA, p. 360–369.
-
22)
-
Alec, W., Terence, T., David, C.: `Taming the underlying challenges of reliable multihop routing in sensor networks', Proc. First Int. Conf. on Embedded Networked Sensor Systems (SenSys '03), November 2003, Los Angeles, USA, p. 14–27.
-
23)
-
S. Soro ,
W. Heinzelman
.
A survey of visual sensor networks.
Adv. Multimedia
-
24)
-
Cristian, D.F., Vincent, L.: `Error resilient image communication with chaotic pixel interleaving for wireless camera sensors', Proc. Third Conf. on Real-World Wireless Sensor Networks (REALWSN’08), April 2008, Glasgow, United Kingdom, p. 21–25.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2011.0050
Related content
content/journals/10.1049/iet-wss.2011.0050
pub_keyword,iet_inspecKeyword,pub_concept
6
6