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Publications

Journal Papers

2013

Language independent on-off voice over IP source model with lognormal transitions, Shaikh, A. D., Blow, K. J., Eberhard, M. A. & Fowler, S. A., IET communications. 7, p. 1449-1455. 24 Sep 2013

 

2011

Adaptive sending rate over wireless mesh networks using SNR,Fowler, S., Eberhard, M., Blow, K. & Shaikh, A. , International journal of wireless networks and broadband technologies. 1, p. 30-48, 2011

 

In-Motes EYE: a real time application for automobiles in wireless sensor networks, Georgoulas, D. & Blow, K., Wireless sensor networkS. 3, p. 158-166, May 2011

 


2009

Implementing an Adaptive TCP Fairness while exploiting 802.11e over Wireless Mesh Network, Fowler, S., Eberhard, M. A. & Blow, K. J. . International journal of pervasive computing and communications. 5, p. 272-294, 2009


Wireless Sensor Network Management and Functionality: An Overview, Dimitrios Georgoulas and Keith Blow, Wireless Sensor Network, 1 257-267


2008

Quality of Service Support for MPLS-based Wired-Wireless Domains, Scott Fowler, Sherali Zeadally, and Abdelhamid Mellouk, Invited Book chapter, in the “Quality of Service Mechanisms in Next Generation Heterogeneous Networks: Utopia or Reality”, edited by Wiley/ISTE Publishing, to be published in April-June 2008.

In-Motes Bins: A real time application for environmental monitoring in wireless sensor networks, Georgoulas, D. & Blow, K., Proceedings of the 9th International Conference on Mobile and Wireless Communications Networks, MWCN'07. p. 21-25

 

2006

On Construction of the (24, 12, 8) Golay Code
X.-H. Peng and P.G. Farrell 
IEEE Trans. on Information Theory, Vol. 52, No. 8, Aug. 2006, pp. 3669- 3675 

Two product array codes are used to construct the (24, 12, 8) binary Golay code through the direct sum operation. This construction provides a systematic way to find proper (8, 4, 4) linear block component codes for generating the Golay code, and it generates and extends previously existing methods that use a similar construction framework. The code constructed is simple to deco

Statistical study of talk spurts and silence lengths with relation to various languages and speakers for advanced silence suppression in Next Generation Wireless Communication Devices,
Shaikh, A. D., Eberhard, M. A., Blow, K. J. & Fowler, S.
1st Global COE Student Conference on Innovative Electronic Topics (SCIENT2008) 

Implementing an adaptive sending rate by exploiting SNR in relation to throughput over Wireless Mesh Networks,
Fowler, S., Eberhard, M. A., Blow, K. J. & Shaikh, A.
Networking and Electronic Commerce Research Conference (NAEC 2008) Sep 2008 p. 288-304 de.

Fast and accurate tactile sense feedback for an innovative flexible digit for clinical applications.

I. Petra, D.J. Holding, X. Ma, P.N. Brett and K.J. Blow 
Electronic Letters, Vol 42, No 14, July 2006, pp 790 - 792. ISSN: 0013-5194 , doi: 10.1049/el:20064388

An embedded signal processing system that uses a low numbers of sensors and cascaded neural networks to provide tactile feedback for a novel flexible digit for clinical applications is describedenviromental. The design has been implemented as an FPGA-based application-specific digital signal processing circuit that computes real-time tactile feedback with clinically significant accuracy.

Cooperative Diversity Based on Distributed Coding Schemes in Wireless Networks
X.-H. Peng and X. Gu 
BT Technology Journal, Vol. 24, No. 2, April 2006, pp.97-102.

This paper examines both research and development challenges in the area of co-operative diversity for enhancing channel capacity in wireless communications networks. In particular, the role played by the distributed coding protocols in achieving diversity gains is investigated in connection with the co-operative communications model built via relay channels. A coding scheme suitable for the nodes working collaboratively in this environment is also presented.

MIMO Systems for Broadband Wireless Communications
X. Gu, X.-H. Peng and G.-C. Zhang 
BT Tech. Journal, Vol. 24, No. 2, April 2006, pp.90-96.

The emergence of broadband wireless access (BWA) and mobility poses significant challenges to the future telecommunications landscape. Multiple input Two product array codes are used to construct the (24, 12, 8) binary Golay code through the direct sum operation. This construction provides a systematic way to find proper (8, 4, 4) linear block component codes for generating the Golay code, and it generates and extends previously existing methods that use a similar construction framework. The code constructed is simple to decomultiple output (MIMO) is a potential technology that can be used to improve system performances such as coverage, capacity and data rates for broadband wireless networks. Although this technology has proved to be beneficial for both current and future services by many research results, it is not clear how these benefits can be practically achieved with a MIMO system. Fundamental issues on capacity enhancement and performance limits need to be addressed before operators will be willing to deploy MIMO systems in their networks. This paper addresses some of the key issues that remain open regarding MIMO technology for BWA. The paper focuses on MIMO channel modelling and capacity analysis.

Radio Range Adjustment for Energy Efficient Wireless Sensor Networks.
Q. Gao, K.J. Blow, D. J. Holding, I. W. Marshall, X. H. Peng, J. 
Ad-Hoc Networks Vol. 4, No. 1, Jan 2006, pp 75 - 82. ISSN: 1570-8705. [PDF]

In wireless ad hoc sensor networks, energy use is in many cases the most important constraint since it corresponds directly to operational lifetime. Topology management schemes such as GAF put the redundant nodes for routing to sleep in order to save the energy. The radio range will affect the number of neighbouring nodes, which collaborate to forward data to a base station or sink. In this paper we study a simple linear network and deduce the relationship between optimal radio range and traffic. We find that half of the power can be saved if the radio range is adjusted appropriately compared with the best case where equal radio ranges are used.

Making Motes Intelligent: An Agent-Based Approach to Wireless Sensor Networks
Dimitrios Georgoulas and Keith Blow,
WSEAS Transactions on Communications 5 515-522 (2006)

2005


Erasure-Control Coding for Distributed Networks
X.-H. Peng 
IEE Proceedings on Communications, Vol. 152, No. 6, Dec. 2005, pp.1075-1080.

Channel coding has seen itself quickly emerge as a very promising technique in relatively new territory: distributed networks, where computing, communication and storage are extensively involved. In this environment, the distribution of rich media files to a large user population and the distribution of mission-critical data present special challenges for service providers and enterprises. Ensuring quality of service to these applications requires a combination of reliability, speed and scalability. Traditional packet-based networks endure poor end-to-end performance when packet loss rates are high and a simple error-control strategy (through re-transmission) is applied. The paper will show how erasure-control coding, a special channel coding technique, plays an important part in promoting fault tolerance, and consequently quality of service across the network. Additionally, the construction of a class of maximum-distance-separable (MDS) array erasure codes is presented, which can be used in an adaptive way to efficiently control packet losses in a fluctuating network environment.

Analysis of Energy Conservation in Sensor Networks
Q.Gao, K.J.Blow, D.J.Holding and I. Marshall, 
J Wireless Networks (WINET), Vol 11, No. 6, pp 787 - 794, ACM/ Kluwer, Nov 2005. ISSN:1022-0038. [PDF]

In this paper we use the Erlang theory to quantitatively analyse the trade offs between energy conservation and quality of service in an ad-hoc wireless sensor network. Nodes can be either sleeping, where no transmission or reception can occur, or awake where traffic is processed. Increasing the proportion of time spent in the sleeping state will decrease throughput and increase packet loss and delivery delay. However there is a complex relationship between sleeping time and energy consumption. Increasing the sleeping time does not always lead to an increase in the energy saved. We identify the energy consumption profile for various levels of sensor network activity and derive an optimum energy saving curve that provides a basis for the design of extended-life ad hoc wireless sensor networks.

2004


Simple Algorithm for Improving Time Synchronization in Wireless Sensor Networks
Q.Gao, K.J.Blow, D.J.Holding, 
Electronics Letters, 40, July 2004, pp 889-891 [PDF]

We present a simple method for improving time synchronisation suitable for use in ad-hoc sensor networks where processing power is limited. The technique is local and uses Bayesian estimation. A simple simulation shows an improvement of about four times.


Optimal Augmentation of Product Codes
X.-H. Peng and P.G. Farrell 
Electronics Letters, vol. 40, June 2004, pp. 750-752.

A systematic technique for constructing augmented product codes is presented. These augmented codes have optimum or near-optimum rates, and can be decoded just as efficiently as the original product code.

2003


Determining Design Parameters for Ad Hoc Wireless Sensor Networks
Q.Gao, K.J.Blow, D.J.Holding and I. Marshall, 
Proceedings of IEEE ETFA'2003, Lisbon, Portugal (2003)

2002

 
Adaptive Soft-decision Decoding in Two Dimensions
X.-H. Peng, P.G. Farrell, and P. Coulton 
Information, Coding & Mathematics, published by Kluwer Academic Publishers, May 2002, pp.299-321, ISBN: 1-4020-7079-9.

To achieve efficient soft-decision decoding for two-dimensional product and array codes, an adaptive decoding scheme is proposed. In the scheme, the special structure of these codes has been fully exploited, resulting in a method for effective use of combined hard- and soft-decision decoding of component codes, As a result, a substantial reduction in decoding complexity is obtained, especially when channel conditions are good. We will show that the decoding algorithm presented can guarantee bounded soft distance performance, while simulation results indicate even better decoding performance and an improvement over similar previous decoding methods. Turbo decoding is about 1dB better in performance, but at the cost of a very significant increase in complexity.

DES Developed In Handel-C

M Mylonas, D.J Holding, K.J.Blow, 
Proceedings LCS, 209-211, (2002)

Energy Efficiency Design Challenge in Sensor Networks

Q.Gao, D.J.Holding, Y. Peng and K.J.Blow, 
Proceedings LCS, 69-72, (2002)

2001

Optimal Soft-Decision Decoding for Multilevel Block Modulation Codes

X.-H. Peng and A. Burr 
IEE Proceedings on Communications, Vol. 148, No. 6, Dec. 2001, pp.333-338.

The multistage trellis decoding method is examined when applied to multilevel block modulation codes. It is shown how low decoding complexity can be achieved using this method, while performing maximum-likelihood decoding. As the decoding complexity involved is shown to be channel-quality dependent, the actual decoding computational burden becomes very low when the system signal-to-noise ratio is high. A way of constructing the generator matrix for multilevel block modulation codes is demonstrated, in order to build a proper trellis for decoding.

Adaptive Soft-Decision Decoding for Array Codes

X.-H. Peng, and P.G. Farrell 
European Trans. on Telecommunications, Vol. 12, No. 6, Nov.-Dec. 2001, pp.487-499.

An adaptive decoding scheme is introduced that achieves efficient soft-decision decoding for row-and-column parity array codes. The special structure of array codes is exploited to make effective use of hard-decision methods to realize soft-decision decoding. This leads to considerable reduction in decoding complexity as the amount of soft-decision computation varies with channel conditions. It is shown that the new decoding algorithm guarantees bounded distance performance. Simulation results indicate that the actual improvement of decoding performance over uncoded systems and previous decoding methods is significant.

A possible secure solution for mobile agents
Peng, Y., Holding, D.J. and Blow, K.J., 
Proc. 2001 Int. Conf. on Intelligent Agents Web Technologies and Internet Commerce, IAWTIC'2001, Las Vegas, (2001)

Conference Papers

2009


Investigation of H.264 Video Streaming over an IEEE 802.11e EDCA Wireless Testbed

R. Haywood, S. Mukherjee and X.-H. Peng, 
IEEE International Conference on Communications (ICC), June 2009.


An Experimental Evaluation of Sender-Side TCP Enhancements for Wired-to-Wireless Paths: A Real-World Home WLAN Case Study

R. Taank and X.-H. Peng, 
IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA), May 2009.


An Unequal Packet Loss Protection Scheme for H.264/AVC Video Transmission

X.-J. Zhang and X.-H. Peng, 
Proc. IEEE Int. Conf. on Information Networking (ICOIN), Jan. 2009.


A Hierarchical Unequal Packet Loss Protection Scheme for Robust H.264/AVC Transmission

X.-J. Zhang, X.-H. Peng, R. Haywood, and T. Porter, 
Proc. IEEE 6th Consumer Communications and Networking Conference (CCNC), Jan. 2009.

2008

Statistical study of talk spurts and silence lengths with relation to various languages and speakers for advanced silence suppression in Next Generation Wireless Communication Devices,
Shaikh, A. D., Eberhard, M. A., Blow, K. J. & Fowler, S.
1st Global COE Student Conference on Innovative Electronic Topics (SCIENT2008) 

Implementing an adaptive sending rate by exploiting SNR in relation to throughput over Wireless Mesh Networks,
Fowler, S., Eberhard, M. A., Blow, K. J. & Shaikh, A. 

Networking and Electronic Commerce Research Conference (NAEC 2008) Sep 2008 p. 288-304 

 

Experimental Investigation of IEEE 802.11e EDCA

S. Mukherjee and X.-H. Peng, 
Proc. IEEE 2nd International Symposium on Advanced Networks and Telecommunication Systems (ANTS), Dec. 2008.


Effect of Fading Correlation on the Performance of Cooperative Systems with Multiple Relays

G.-C. Zhang, X.-H. Peng and X.-Y. Gu, 
Proc. IEEE 5th International Symposium on Wireless Communication Systems (ISWCS), Oct. 2008.


Impact of Error Characteristics of Indoor 802.11g WLAN on TCP Retransmissions

R. Taank and X.-H. Peng, 
Proc. IEEE 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Dalian, China, Oct. 2008.


Implementation and Performance Evaluation of an Experimental Wireless Relay Sensor Network

G.-C. Zhang, X.-H. Peng and X.-Y. Gu, Proc. 
IEEE 10th International Conference on High Performance Computing and Communications (HPCC), Dalian, China, Sept. 2008.


Robust Video Transmission over Lossy Networks by Exploiting H.264/AVC Data Partitioning

X.-J. Zhang, X.-H. Peng, R. Haywood, and T. Porter, 
Proc. IEEE 5th International Conference on Broadband Communications, Networks, and Systems (BROADNETS), London, UK, Sept. 2008.


Effect of Path Diversity on the Loss Performance of UDP Packets over the Internet

R. Haywood and X.-H. Peng, 
Proc. IEEE 5th International Conference on Broadband Communications, Networks, and Systems (BROADNETS), London, UK, Sept. 2008.


On Packet Loss Performance Under Varying Network Conditions with Path Diversity

R. Haywood and X.-H. Peng, 
Proc. ACM International Conference on Advanced Information Technology (ICAIT), Shenzhen, China, July 2008.


An Experimental Testbed for Evaluating End-to-End TCP Performance over Wired-to-Wireless Paths

R. Taank and X.-H. Peng, 
Proc. IEEE 5th Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, Jan. 2008.

2007


A Testbed of Erasure Coding on Video Streaming System over Lossy Networks

X.-J. Zhang and X.-H. Peng, 
Proc. IEEE 7th International Symposium on Communications and Information Technologies, Sydney (ISCIT), Australia, Oct. 2007.


On Capacity of Cooperative Communications in Correlated Fading Channels

G.-C. Zhang, X.-H. Peng and X.-Y. Gu, 
Proc. IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Shanghai, China, Sept. 2007.


Investigation of the Effects of Feedback Channel Losses for Wireless TCP Experiments

R. Taank and X.-H. Peng, 
Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Athens, Greece, Sept. 2007.

2006


An Improved Urban Macrocellular Model for MIMO Wireless Systems

G.-C. Zhang, X. Gu and X.-H. Peng, 
Proc. ICST CHINACOM, Beijing, China, Oct. 2006.


Digital Patient Push: Using Location to Streamline the Surgical Journey

S. Mukherjee, K. Jones, M. O’Shea and X.-H. Peng, 
Proc. IEE 3rd International Conference on Advances in Medical, Signal and Information Processing (MEDSIP), Glasgow, Scotland, July 2006.

2005


Investigation of Energy Efficiency for Singlehop and Multihop Routing Schemes in a Wireless Sensor Network

D. Khan and X.-H. Peng, 
Proc. IEE 6th International Conference on 3G & Beyond, London, UK, Nov. 2005.

2004


Coding for Distributed Networks

X.-H. Peng, 
Proc. IEE Colloquium on Spars-Graph Codes, London, UK, 12th Oct. 2004, Invited paper.


Implementation and Analysis of VoIP Services in WLANs

S. Patodia and X.-H. Peng, 
Proc. IEE 5th International Conference on 3G Mobile Communication Technologies London, UK, Oct. 2004.

Employable Graduates; Exploitable Research