Coverage Protocol for Wireless Sensor Networks Using Distance Estimates

In wireless sensor networks, it is desirable to maintain good sensing coverage while keeping the number of active sensor nodes small to achieve long system lifetime. Existing coverage algorithms assume some form of localization and that complete coverage is needed. Our work is motivated by two observations. First, localization is expensive, error-prone and not required for a coverage algorithm. Instead, coverage algorithm can be designed using only distance information between two nodes. Second, complete coverage can lead to excessive redundancy, resulting in inefficiency in terms of active nodes needed. In this paper, we first present a scheme that estimates the distance between any two neighboring nodes using only local information. We then present CCP, a configurable coverage protocol that requires only neighbor distance information. CCP can be configured such that at least alpha portion of the area will be covered by active nodes with high probability, where alpha is a tunable parameter. In addition, CCP achieves similar performance to OGDC [1] in terms of coverage and active nodes required. Compare to OGDC, CCP offers the flexibility to trade-off between coverage and nodes required. By setting the coverage objective to 90%, about 22% node savings can be achieved.

[1]  David C. Moore,et al.  Robust distributed network localization with noisy range measurements , 2004, SenSys '04.

[2]  Azzedine Boukerche,et al.  Error analysis of localization systems for sensor networks , 2005, GIS '05.

[3]  Yong Gao,et al.  Analysis on the redundancy of wireless sensor networks , 2003, WSNA '03.

[4]  Koushik Kar,et al.  Low-coordination topologies for redundancy in sensor networks , 2005, MobiHoc '05.

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

[6]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[7]  Di Tian,et al.  A coverage-preserving node scheduling scheme for large wireless sensor networks , 2002, WSNA '02.

[8]  Jennifer C. Hou,et al.  Maintaining Sensing Coverage and Connectivity in Large Sensor Networks , 2005, Ad Hoc Sens. Wirel. Networks.

[9]  Hari Balakrishnan,et al.  6th ACM/IEEE International Conference on on Mobile Computing and Networking (ACM MOBICOM ’00) The Cricket Location-Support System , 2022 .

[10]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[11]  Miodrag Potkonjak,et al.  Power efficient organization of wireless sensor networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[12]  Yu-Chee Tseng,et al.  The Coverage Problem in a Wireless Sensor Network , 2003, WSNA '03.

[13]  Andreas F. Molisch,et al.  Localization via Ultra- Wideband Radios , 2005 .

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

[15]  Jie Gao,et al.  Distributed localization using noisy distance and angle information , 2006, MobiHoc '06.

[16]  Miodrag Potkonjak,et al.  Exposure in wireless Ad-Hoc sensor networks , 2001, MobiCom '01.

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

[18]  Miodrag Potkonjak,et al.  Localized algorithms in wireless ad-hoc networks: location discovery and sensor exposure , 2001, MobiHoc '01.

[19]  Miodrag Potkonjak,et al.  Coverage problems in wireless ad-hoc sensor networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[20]  Brian D. O. Anderson,et al.  Rigidity, computation, and randomization in network localization , 2004, IEEE INFOCOM 2004.