• 沒有找到結果。

Algorithms, Protocols and Future Applications of Wireless Sensor Networks

N/A
N/A
Protected

Academic year: 2021

Share "Algorithms, Protocols and Future Applications of Wireless Sensor Networks"

Copied!
2
0
0

加載中.... (立即查看全文)

全文

(1)

© The Author 2010. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Advance Access publication on June 4, 2010 doi:10.1093/comjnl/bxq051

Algorithms, Protocols and Future

Applications of Wireless

Sensor Networks

You-Chiun Wang

1

, Tomoaki Ohtsuki

2

, Athanasios (Thanos) Vasilakos

3

,

Ashutosh Sabharwal

4

, Yuh-Shyan Chen

5

and Yu-Chee Tseng

1,

1Department of Computer Science, National Chiao-Tung University, Hsinchu, Taiwan 2Department of Information and Computer Science, Keio University, Tokyo, Japan

3Department of Computer and Telecommunications Engineering, University of Western Macedonia, Kozani,

Greece

4Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA 5Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan

Corresponding author: yctseng@cs.nctu.edu.tw

The fast growth of embedded micro-sensing MEMS and wireless communication technologies has greatly accelerated the development of wireless sensor networks (WSNs). WSNs can offer lots of opportunities for pervasive and context-aware applications that have close interactions with our physical environments. However, due to limited resources of sensor nodes, WSNs may face many critical challenges. For example, algorithms for network formation, data collection, sensor data compression, data-centric routing, energy-driven transmission, light-weight security and authentication, and fault-tolerant computing and communications that are tailored to the needs of WSNs must be developed. Standardization of these designs is necessary to facilitate the designs of WSN protocols for global compatibility. Also, these issues must keep the applications and performance in mind since WSNs are application-driven systems.

This special issue aims at reporting recent researches and progresses in the development of WSNs. We have received totally 39 submissions. Each paper has been carefully reviewed by at least three reviewers. Among them, nine outstanding articles have been accepted, giving an acceptance rate of 23%. These articles can be classified into four categories: ‘network formation’, ‘data compression and energy conservation’ and ‘applications’.

In the category of ‘network formation’, the paper entitled ‘The Critical Grid Size and Transmission Radius for Local-Minimum-Free Grid Routing in Wireless Ad Hoc and Sensor Networks’ derives some critical parameters and formulates sufficient and necessary conditions for local-minimum-free grid routing in wireless ad hoc and sensor networks. In the paper entitled ‘Graph Matching-Based Distributed Clustering and

Backbone Formation Algorithms for Sensor Networks’, a new weighted matching method based on graph theory is proposed for node clustering in a WSN. It is claimed to be the first result using graph matching for selecting strong communication links while creating a controllable number of balanced clusters in the literature. Observing that WLANs have wider coverage and higher bandwidth, the paper entitled ‘Saving Energy in Wireless Local Area Sensor Networks’ proposes using IEEE 802.11 WLANs to develop local-area WSNs. This paper discusses the energy consumption of such networks analytically, gives the considerations that should be taken care of and proposes a novel group collaboration protocol for energy conservation in WLANs.

In the category of ‘data compression and energy conser-vation’, the paper entitled ‘Adaptive Linear Filtering Com-pression on Realtime Sensor Networks’ presents a lightweight WSN compression scheme for seismic data. The scheme elim-inates the need to determine prediction coefficients a priori and allows the compressor to dynamically adjust to a chang-ing source. Interestchang-ingly, the result has been tested in a real WSN deployed on St. Heleus Volcano. Concerning the trade-off between network utility and network lifetime, the paper entitled ‘Cross Layer Optimization for Energy-Constrained Wireless Sensor Networks: Joint Rate Control and Routing’ introduces a weighted factor that combines these two objectives to address both rate control and routing issues in a WSN. The result can deal with reliable and real-time communications and contain rigorous analyses. The paper entitled ‘Efficient Query-Based Data Collection for Mobile Wireless Monitoring Applications’ addresses an interesting problem, where a mobile sink may issue a query packet at one location, move to another location

The Computer Journal

,

Vol. 53 No. 10, 2010

at National Chiao Tung University Library on April 24, 2014

http://comjnl.oxfordjournals.org/

(2)

1552 Editorial and then collect the response packet at the new location. Two efficient protocols are proposed to minimize energy consump-tion and packet delivery latency for sensor data collecconsump-tion in such a mobile environment.

In the category of ‘applications’, three papers are selected: one addressing localization, one addressing rapid implemen-tation of WSN applications and one addressing code injection. The paper entitled ‘Localization Algorithms for Wireless Sensor Retrieval’ adopts probability models to develop two efficient localization algorithms by iteratively identifying the loca-tions of multiple sensor nodes. The paper entitled ‘Mop-pet: A Model-Driven Performance Engineering Framework for Wireless Sensor Networks’ proposes a framework for application developers, or even non-programmers, to rapidly implement WSN applications, estimate their performance and feedback the estimated performance results for customizing their design/implementation. For example, network lifetime and power consumption can be inferred. The paper entitled

‘Arbitrary Code Injection through Self-propagating Worms in Von Neumann Architecture Devices’ points out that lightweight sensor nodes present a new and very disturbing target for mal-ware developers. It shows how to intrude a remote node over the radio channel, presents an implementation of the attack and suggests possible countermeasures.

These papers represent exciting and insightful observations into the state of the art, as well as emerging future trends, of the development of WSNs. We hope that these articles can also help stimulate future research and development of WSNs. ACKNOWLEDGEMENTS

We would like to take this opportunity to thank all authors and reviewers for their contributions to this special issue. Our gratitude also extends to the Editor-in-Chief Dr Erol Gelenbe and the entire production team for making the publication of this special issue possible.

The Computer Journal

,

Vol. 53 No. 10, 2010

at National Chiao Tung University Library on April 24, 2014

http://comjnl.oxfordjournals.org/

參考文獻

相關文件

• As RREP travels backwards, each node sets pointer to sending node and updates destination sequence number and timeout entry for source and destination routes.. “Ad-Hoc On

Kyunghwi Kim and Wonjun Lee, “MBAL: A Mobile Beacon-Assisted Localization Scheme for Wireless Sensor Networks,” The 16th IEEE International Conference on Computer Communications

Krishnamachari and V.K Prasanna, “Energy-latency tradeoffs for data gathering in wireless sensor networks,” Twenty-third Annual Joint Conference of the IEEE Computer

Selcuk Candan, ”GMP: Distributed Geographic Multicast Routing in Wireless Sensor Networks,” IEEE International Conference on Distributed Computing Systems,

Many kinds of sensors like sound sensor, light sensor, temperature/humidity sensor and infrared sensor are used in the hardware system to imitate the sense organs of

Kyunghwi Kim and Wonjun Lee, “MBAL: A Mobile Beacon-Assisted Localization Scheme for Wireless Sensor Networks”, the 16th IEEE International Conference on Computer Communications

A Wireless Sensor Network is composed by a group of tiny devices with limited energy. Since the number of sensing nodes is usually huge, the sensing nodes are usually on

[20] Mohamed Younis, Moustafa Youssef, and Khaled Arisha “Energy Aware Routing in Cluster-Based Sensor Networks”, 10th IEEE International Symposium on Modeling, Analysis