Design and optimization of distributed sensing coverage in wireless sensor networks

For many sensor network applications, such as military surveillance, it is necessary to provide full sensing coverage to a security-sensitive area while, at the same time, minimizing energy consumption and extending system lifetime by leveraging the redundant deployment of sensor nodes. In this paper, we propose a surveillance service for sensor networks based on a distributed energy-efficient sensing coverage protocol. In the protocol, each node is able to dynamically decide a schedule for itself to guarantee a certain degree-of-coverage (DOC) with average energy consumption inversely proportional to the node density. Several optimizations and extensions are proposed to enhance the basic design with a better load-balance feature and a longer network lifetime. We consider and address the impact of the target size and the unbalanced initial energy capacity of individual nodes to the network lifetime. Several practical issues such as the localization error, irregular sensing range, and unreliable communication links are addressed as well. Simulation shows that our protocol extends system lift-time significantly with low energy consumption. It outperforms other state-of-the-art schemes by as much as 50% reduction in energy consumption and as much as 130% increase in the half-life of the network.

[1]  Robert Jan. Williams,et al.  The Geometrical Foundation of Natural Structure: A Source Book of Design , 1979 .

[2]  Anantha P. Chandrakasan,et al.  An architecture for a power-aware distributed microsensor node , 2000, 2000 IEEE Workshop on SiGNAL PROCESSING SYSTEMS. SiPS 2000. Design and Implementation (Cat. No.00TH8528).

[3]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[4]  John Anderson,et al.  An analysis of a large scale habitat monitoring application , 2004, SenSys '04.

[5]  Di Tian,et al.  A node scheduling scheme for energy conservation in large wireless sensor networks , 2003, Wirel. Commun. Mob. Comput..

[6]  Andrew T. Campbell,et al.  SWAN: service differentiation in stateless wireless ad hoc networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[7]  David G. Kirkpatrick,et al.  Tentative Prune-and-Search for Computing Fixed-Points with Applications to Geometric Computation , 1995, Fundam. Informaticae.

[8]  Yuan Xue,et al.  A location-aided power-aware routing protocol in mobile ad hoc networks , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[9]  YanTing,et al.  Design and optimization of distributed sensing coverage in wireless sensor networks , 2008 .

[10]  Tarek F. Abdelzaher,et al.  AIDA: Adaptive application-independent data aggregation in wireless sensor networks , 2004, TECS.

[11]  Xin Chen,et al.  A study on object tracking quality under probabilistic coverage in sensor networks , 2005, MOCO.

[12]  Budhaditya Deb,et al.  Service Differentiation in Sensor Networks , 2004 .

[13]  Deborah Estrin,et al.  Impact of network density on data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems.

[14]  Gang Zhou,et al.  Achieving Long-Term Surveillance in VigilNet , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[15]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[16]  Deborah Estrin,et al.  The impact of data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems Workshops.

[17]  John A. Stankovic,et al.  Radio-triggered wake-up capability for sensor networks , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[18]  Deborah Estrin,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Fine-grained Network Time Synchronization Using Reference Broadcasts , 2022 .

[19]  Songwu Lu,et al.  PEAS: a robust energy conserving protocol for long-lived sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[20]  Bruce H. Krogh,et al.  Energy-efficient surveillance system using wireless sensor networks , 2004, MobiSys '04.

[21]  David Hsu,et al.  Computing the largest inscribed isothetic rectangle , 1995, CCCG.

[22]  J.A. O'Sullivan,et al.  Co-Grid: an efficient coverage maintenance protocol for distributed sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[23]  Dan Roth,et al.  Finding the Largest Area Axis-parallel Rectangle in a Polygon , 1997, Comput. Geom..

[24]  Tarek F. Abdelzaher,et al.  Analysis of Target Detection Performance for Wireless Sensor Networks , 2005, DCOSS.

[25]  Guoliang Xing,et al.  Integrated coverage and connectivity configuration for energy conservation in sensor networks , 2005, TOSN.

[26]  Deborah Estrin,et al.  ASCENT: adaptive self-configuring sensor networks topologies , 2004, IEEE Transactions on Mobile Computing.

[27]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[28]  Deborah Estrin,et al.  ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[29]  Leonard Kleinrock,et al.  Optimal Transmission Ranges for Randomly Distributed Packet Radio Terminals , 1984, IEEE Trans. Commun..

[30]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[31]  Tarek F. Abdelzaher,et al.  Range-free localization schemes for large scale sensor networks , 2003, MobiCom '03.

[32]  Chenyang Lu,et al.  RAP: a real-time communication architecture for large-scale wireless sensor networks , 2002, Proceedings. Eighth IEEE Real-Time and Embedded Technology and Applications Symposium.

[33]  Deborah Estrin,et al.  A wireless sensor network For structural monitoring , 2004, SenSys '04.

[34]  Songwu Lu,et al.  PEAS: a robust energy conserving protocol for long-lived sensor networks , 2002, 10th IEEE International Conference on Network Protocols, 2002. Proceedings..

[35]  Wei Hong,et al.  A macroscope in the redwoods , 2005, SenSys '05.

[36]  Prasant Mohapatra,et al.  Power conservation and quality of surveillance in target tracking sensor networks , 2004, MobiCom '04.

[37]  Tarek F. Abdelzaher,et al.  Energy-conserving data placement and asynchronous multicast in wireless sensor networks , 2003, MobiSys '03.

[38]  Bject,et al.  Analyzing Object Tracking Quality under Probabilistic Coverage in Sensor Networks , .

[39]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2001, MobiCom '01.

[40]  Jan M. Rabaey,et al.  Low power distributed MAC for ad hoc sensor radio networks , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[41]  Mingyan Liu,et al.  Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[42]  Guoliang Xing,et al.  Impact of sensing coverage on greedy geographic routing algorithms , 2006, IEEE Transactions on Parallel and Distributed Systems.