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Wang, Qinghua
Publications (10 of 15) Show all publications
Wang, Q. & Zhang, T. (2010). Fair energy allocation in large-scale and dense sensor networks. In: GLOBECOM - IEEE Global Telecommunications Conference: . Paper presented at 53rd IEEE Global Communications Conference, GLOBECOM 2010; Miami, FL; 6 December 2010 through 10 December 2010. IEEE conference proceedings, Article ID 5683414.
Open this publication in new window or tab >>Fair energy allocation in large-scale and dense sensor networks
2010 (English)In: GLOBECOM - IEEE Global Telecommunications Conference, IEEE conference proceedings, 2010, article id 5683414Conference paper, Published paper (Refereed)
Abstract [en]

This paper deals with the energy allocation in multi-hop wireless sensor networks. Because the traffic loads are not evenly distributed in a multi-hop wireless sensor network, different sensor nodes usually experience different energy consumption rates. We present Routing Independent Fair Energy-Allocation Scheme (RIFES), which allocates the available energy resource to a sensor node according to its pre-estimated traffic load. Because traffic load is the dominating source of energy consumption, RIFES optimizes the network's lifetime by equalizing all individual nodes' expected energy exhaustion times. Due to the fact that a node's real experienced traffic load may differ to its pre-estimated traffic load in practice, it is hard for RIFES to achieve its theoretical optimal performance. To bridge this gap between theory and practice, this paper also presents several distributed routing algorithms, the use of which prolongs the network's lifetime by balancing the real-experienced traffic loads among neighboring nodes

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010
Keywords
Available energy; Distributed routing; Distributed routing algorithm; Energy allocation; Energy allocations; Energy consumption rates; Expected energy; Multihop; Neighboring nodes; Optimal performance; Source of energy; Theory and practice; Traffic load distribution; Traffic loads
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-11173 (URN)10.1109/GLOCOM.2010.5683414 (DOI)2-s2.0-79551653221 (Scopus ID)978-1-4244-5636-9 (ISBN)
Conference
53rd IEEE Global Communications Conference, GLOBECOM 2010; Miami, FL; 6 December 2010 through 10 December 2010
Available from: 2010-01-26 Created: 2010-01-26 Last updated: 2018-01-12Bibliographically approved
Wang, Q. (2010). Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection. (Doctoral dissertation). Sundsvall: Tryckeriet Mittuniversitetet
Open this publication in new window or tab >>Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Wireless sensor network (WSN) has emerged as a promising technology thanks to the recent advances in electronics, networking, and information processing. A wide range of WSN applications have been proposed such as habitat monitoring, environmental observations and forecasting systems, health monitoring, etc. In these applications, many low power and inexpensive sensor nodes are deployed in a vast space to cooperate as a network.

Although WSN is a promising technology, there is still a great deal of additional research required before it finally becomes a mature technology. This dissertation concentrates on three factors which are holding back the development of WSNs. Firstly, there is a lack of traffic analysis & modeling for WSNs. Secondly, network optimization for WSNs needs more investigation. Thirdly, the development of anomaly detection techniques for WSNs remains a seldomly touched area.

In the field of traffic analysis & modeling for WSNs, this dissertation presents several ways of modeling different aspects relating to WSN traffic, including the modeling of sequence relations among arriving packets, the modeling of a data traffic arrival process for an event-driven WSN, and the modeling of a traffic load distribution for a symmetric dense WSN. These research results enrich the current understanding regarding the traffic dynamics within WSNs, and provide a basis for further work on network optimization and anomaly detection for WSNs.

In the field of network optimization for WSNs, this dissertation presents network optimization models from which network performance bounds can be derived. This dissertation also investigates network performances constrained by the energy resources available in an indentified bottleneck zone. For a symmetric dense WSN, an optimal energy allocation scheme is proposed to minimize the energy waste due to the uneven energy drain among sensor nodes. By modeling the interrelationships among communication traffic, energy consumption and WSN performances, these presented results have efficiently integrated the knowledge on WSN traffic dynamics into the field of network optimization for WSNs.

Finally, in the field of anomaly detection for WSNs, this dissertation uses two examples to demonstrate the feasibility and the ease of detecting sensor network anomalies through the analysis of network traffic. The presented results will serve as an inspiration for the research community to develop more secure and more fault-tolerant WSNs.

Place, publisher, year, edition, pages
Sundsvall: Tryckeriet Mittuniversitetet, 2010. p. 120
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 78
Keywords
Wireless sensor network, traffic analysis, network optimization, anomaly detection
National Category
Information Systems
Identifiers
urn:nbn:se:miun:diva-10690 (URN)978-91-86073-64-0 (ISBN)
Public defence
2010-02-03, L111, Mittuniversitetet, Holmgatan 10, 85170 Sundsvall, Sundsvall, 10:00 (English)
Opponent
Supervisors
Projects
STC
Available from: 2010-01-26 Created: 2009-12-16 Last updated: 2018-01-12Bibliographically approved
Wang, Q. & Zhang, T. (2010). Traffic load distribution in large-scale and dense wireless sensor networks. In: 2010 The 5th Annual ICST Wireless Internet Conference, WICON 2010. Paper presented at 5th Annual International Wireless Internet Conference, WICON 2010; Singapore; 1 March 2010 through 3 March 2010 (pp. No 5452655).
Open this publication in new window or tab >>Traffic load distribution in large-scale and dense wireless sensor networks
2010 (English)In: 2010 The 5th Annual ICST Wireless Internet Conference, WICON 2010, 2010, p. No 5452655-Conference paper, Published paper (Refereed)
Abstract [en]

Because of the dominating many-to-one communication pattern, traffic load is not evenly distributed over the nodes in a wireless sensor network (WSN). In a large-scale WSN, the multi-hop routing even deteriorates this traffic load imbalance by accumulating traffic flows along their paths to the sink. Understanding the traffic load distribution can guide the network-wide energy allocation, direct the design of routing algorithms, and optimize the node deployment in WSNs. In this paper, we consider a large-scale and dense WSN with nodes evenly deployed in a disk area, and find the traffic load distribution over the nodes as a function of their distances from the sink. Further, the effects of network scale and routing hop length on traffic load distribution are also investigated. The traffic loads of individual nodes are found to be in direct proportion to the radius of the network and in inverse proportion to the mean routing hop length, while independent of network density. The results presented in this paper are verified through extensive simulation experiments.

 

 

Keywords
Traffic load distribution; Wireless sensor network
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-10286 (URN)10.4108/ICST.WICON2010.8507 (DOI)2-s2.0-77952753404 (Scopus ID)978-963979986-8 (ISBN)
Conference
5th Annual International Wireless Internet Conference, WICON 2010; Singapore; 1 March 2010 through 3 March 2010
Note
Category number CFP10381-ART; Code 80386Available from: 2009-11-09 Created: 2009-11-09 Last updated: 2018-01-12Bibliographically approved
Wang, Q. & Zhang, T. (2009). A Multi-homing Extension of Wireless Node Implementation in Ns-2. In: 2009 4th International Conference on Communications and Networking in China, CHINACOM 2009: ChinaCom'09. Paper presented at 2009 4th International Conference on Communications and Networking in China, CHINACOM 2009; Xian; 26 August 2009 through 28 August 2009; Category number CFP0970A; Code 78908 (pp. 751-756). IEEE conference proceedings
Open this publication in new window or tab >>A Multi-homing Extension of Wireless Node Implementation in Ns-2
2009 (English)In: 2009 4th International Conference on Communications and Networking in China, CHINACOM 2009: ChinaCom'09, IEEE conference proceedings, 2009, p. 751-756Conference paper, Published paper (Refereed)
Abstract [en]

Due to the rapid growth of wireless communication, it is now believed that wireless devices with multiple interface support will highly increase in the near future. In the research community of Network Simulator, there has recently been quite a large interest in extending the current wireless node implementation so as to be able to include more than one radio interface to work simultaneously.

We focus our efforts on the extension of multi-homing ability of ns-2, which has been the most used network simulator in wireless network research. Multi-homing here is defined as the ability of a single end-point to support multiple IP addresses by the use of multiple interfaces. The ns-2 simulation environment is a flexible tool for network engineers to investigate how various protocols perform with different configurations and topologies. However, the support for wireless and mobile networking in ns-2 is monolithic and not entirely consistent with basic design principles so that it makes it quite difficult, if not impossible, to extend a multi-homing support based on current mobilenode design. This paper describes how we extend the ns-2 framework to include support for an imititated wireless multi-homed node.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2009
Keywords
multihoming, wireless node, ns2
National Category
Information Systems
Identifiers
urn:nbn:se:miun:diva-9959 (URN)10.1109/CHINACOM.2009.5339795 (DOI)2-s2.0-71749102432 (Scopus ID)978-1-4244-4337-6 (ISBN)
Conference
2009 4th International Conference on Communications and Networking in China, CHINACOM 2009; Xian; 26 August 2009 through 28 August 2009; Category number CFP0970A; Code 78908
Projects
STC
Note

Article number 5339795

Available from: 2009-12-02 Created: 2009-10-05 Last updated: 2018-01-13Bibliographically approved
Wang, Q. & Zhang, T. (2009). A Survey on Security in Wireless Sensor Networks. In: Security in RFID and Sensor Networks (pp. 293-320). Boca Raton: CRC Press
Open this publication in new window or tab >>A Survey on Security in Wireless Sensor Networks
2009 (English)In: Security in RFID and Sensor Networks, Boca Raton: CRC Press, 2009, p. 293-320Chapter in book (Other academic)
Abstract [en]

Recent advances in electronics and wireless network technologies have offered us access to a new era where wireless sensor networks formed by inter-connected small intelligent sensing devices provide us the possibility to form smart environments. Considering the specialty of wireless sensor network, the security threats and possible countermeasures are quite different from those in Internet and Mobile Ad Hoc Networks (MANETs). On the one hand, the wireless communication, large scale and possibly human unattended deployment make attacks in wireless sensor networks relatively easier to perform. Furthermore, all features that make sensor nodes cheap and thus sensor network application affordable, such as limited energy resource, limited bandwidth and limited memory, also make many well-developed security mechanisms inappropriate in sensor networks. On the other hand, the user unfriendly interface makes the physical compromise of a sensor node difficult, the relatively simple communication profile makes the intrusion detection easy to perform, and also the redundant deployment makes the new type of network more fault-tolerant. Thus, we need a complete redesign of sensor network security mechanisms from technique to management.

Place, publisher, year, edition, pages
Boca Raton: CRC Press, 2009
Keywords
Wireless sensor network, security
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-7177 (URN)9781420068399 (ISBN)
Projects
STC - Sensible Things that Communicate
Available from: 2008-11-29 Created: 2008-11-25 Last updated: 2018-01-13Bibliographically approved
Wang, Q. & Zhang, T. (2009). Bottleneck Zone Analysis in Energy-Constrained Wireless Sensor Networks. IEEE Communications Letters, 13(6), 423-425
Open this publication in new window or tab >>Bottleneck Zone Analysis in Energy-Constrained Wireless Sensor Networks
2009 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 13, no 6, p. 423-425Article in journal (Refereed) Published
Abstract [en]

In a typical sensor network, nodes around the sink bear more energy consumption than those further away. It is not unusual that limited energy resources available at the nodes around the sink become the bottleneck which confines the whole network's performance. In this article, we firstly formally define the so-called bottleneck zone inside sensor networks. Then, the effect of the bottleneck zone on network performance is investigated by deducting performance bounds limited by the energy resources available inside the bottleneck zone. In this article, both the performance bound in terms of network lifetime and the performance bound in terms of information collection are explored. Finally, the ways by which network deployment parameters may affect the performance bounds are analyzed.

National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-8163 (URN)10.1109/LCOMM.2009.090119 (DOI)000267064800019 ()2-s2.0-67650658161 (Scopus ID)
Projects
STC - Sensible Things that Communicate
Available from: 2009-01-09 Created: 2009-01-09 Last updated: 2018-01-13Bibliographically approved
Wang, Q. & Zhang, T. (2009). Characterizing the traffic load distribution in dense sensor networks. In: 3rd International Conference on New Technologies, Mobility and Security, NTMS 2009. Paper presented at 3rd International Conference on New Technologies, Mobility and Security, NTMS 2009; Cairo; 20 December 2009 through 23 December 2009 (pp. 5384829). IEEE conference proceedings
Open this publication in new window or tab >>Characterizing the traffic load distribution in dense sensor networks
2009 (English)In: 3rd International Conference on New Technologies, Mobility and Security, NTMS 2009, IEEE conference proceedings, 2009, p. 5384829-Conference paper, Published paper (Refereed)
Abstract [en]

Traffic load is not evenly distributed over the nodes in a wireless sensor network (WSN). Understanding the traffic load distribution can guide the network-wide energy allocation, direct the design of routing algorithms, and optimize the node deployment in WSNs. In this paper, we consider a dense WSN with nodes uniformly distributed in a disk sensing area, and find the traffic load distribution over the nodes as a function of their distance from the sink. Further, the effects of network scale and routing strategy on traffic load are also investigated. The traffic loads on individual nodes are found to be in direct proportion to the radius of the network and in inverse proportion to the routing hop distance, while independent of network density. The results presented in this paper are verified through extensive simulation experiments.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2009
Keywords
Traffic load distribution; Wireless sensor network
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-10285 (URN)10.1109/NTMS.2009.5384829 (DOI)2-s2.0-77949815295 (Scopus ID)978-142446273-5 (ISBN)
Conference
3rd International Conference on New Technologies, Mobility and Security, NTMS 2009; Cairo; 20 December 2009 through 23 December 2009
Projects
STC
Available from: 2009-11-09 Created: 2009-11-09 Last updated: 2018-01-12Bibliographically approved
Wang, Q. & Zhang, T. (2009). Simulated Wireless Multihomed Node in NS-2. In: The Sixth Swedish National Computer Networking Workshop and Ninth Scandinavian Workshop on Wireless Adhoc Networks.
Open this publication in new window or tab >>Simulated Wireless Multihomed Node in NS-2
2009 (English)In: The Sixth Swedish National Computer Networking Workshop and Ninth Scandinavian Workshop on Wireless Adhoc Networks, 2009Conference paper, Published paper (Refereed)
Abstract [en]

Due to the rapid growth of wireless communication, it is now believed that wireless devices with multiple interface support will highly increase in the near future. In the research community of Network Simulator, there has recently been quite a large interest in extending the current wireless node implementation so as to be able to include more than one radio interface to work simultaneously. We focus our efforts on the extension of multihoming ability of ns-2, which has been the most used network simulator in wireless network research. Multihoming here is defined as the ability of a single end-point to support multiple IP addresses by the use of multiple interfaces. The ns-2 simulation environment is a flexible tool for network engineers to investigate how various protocols perform with different configurations and topologies. However, the support for wireless and mobile networking in ns-2 is monolithic and not entirely consistent with basic design principles so that it makes it quite difficult, if not impossible, to extend a multihoming support based on current mobilenode design. This paper describes how we extend the ns-2 framework to include support for an imititated wireless multihomed node.

National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-8814 (URN)
Projects
STC - Sensible Things that Communicate
Available from: 2009-04-23 Created: 2009-04-23 Last updated: 2018-01-13Bibliographically approved
Wang, Q. & Zhang, T. (2009). Traffic load analysis in large-scale and dense wireless sensor networks. In: The Sixth Swedish National Computer Networking Workshop and Ninth Scandinavian Workshop on Wireless Adhoc Networks.
Open this publication in new window or tab >>Traffic load analysis in large-scale and dense wireless sensor networks
2009 (English)In: The Sixth Swedish National Computer Networking Workshop and Ninth Scandinavian Workshop on Wireless Adhoc Networks, 2009Conference paper, Published paper (Refereed)
Abstract [en]

Traffic load is not evenly distributed over the nodes in a multi-hop wireless sensor network (WSN). Understanding the traffic load distribution can guide the network-wide energy allocation, direct the design of routing algorithms, and optimize the node deployment in WSNs. In this paper, we find the traffic load distribution over the nodes as a function of their respective distance from the sink. Further, the ratio of the traffic loads experienced by two nodes at different locations is found to be independent of the underlying routing algorithm. The assumptions in this paper are that the network is large-scale and dense, and it is deployed in a disc area. However, the results achieved could also be used as approximations in more practical networks.

National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-8816 (URN)
Projects
STC - Sensible Things that Communicate
Available from: 2009-04-23 Created: 2009-04-23 Last updated: 2018-01-13Bibliographically approved
Wang, Q., Zhang, T. & Pettersson, S. (2008). An effort to understand the optimal routing performance in wireless sensor network. In: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications: AINA2008, Ginowan City , Okinawa, Japan. 25-28 March 2008. Paper presented at IEEE 22nd International Conference on Advanced Information Networking and Applications (pp. 279-286). IEEE conference proceedings
Open this publication in new window or tab >>An effort to understand the optimal routing performance in wireless sensor network
2008 (English)In: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications: AINA2008, Ginowan City , Okinawa, Japan. 25-28 March 2008, IEEE conference proceedings, 2008, p. 279-286Conference paper, Published paper (Refereed)
Abstract [en]

Wireless sensor network is remarkable for its promising use on human-unattended information collection, such as forest fire monitoring. In order to support efficient communication, many routing algorithms specially designed for such networks have been proposed. However, there is no idea about whether these proposed routing algorithms are already good enough or still have a long way to become “perfect”, since there is currently a lack of understanding about the optimal routing performance. This paper makes a progress in the understanding of the optimal routing performance. Metrics here used to measure the routing performance are the network lifetime finally acquired and the total information finally collected. The condition used to judge the network’s death is defined by the user’s requirement on the guaranteed network information collecting ability. Optimization models based on the metrics and death condition mentioned above are proposed. Experiments show some existing routing proposals already work well when the user’s requirement is strict, but few of them satisfy when the user’s requirement is loose.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2008
Keywords
Optimal Routing, Wireless Senson Networks
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-4401 (URN)10.1109/AINA.2008.47 (DOI)2-s2.0-50249133776 (Scopus ID)5320 (Local ID)978-0-7695-3095-6 (ISBN)5320 (Archive number)5320 (OAI)
Conference
IEEE 22nd International Conference on Advanced Information Networking and Applications
Projects
STC - Sensible Things that Communicate
Available from: 2008-09-30 Created: 2009-07-28 Last updated: 2018-01-12Bibliographically approved
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