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Maximum Lifetime Combined Barrier-Coverage of Weak Static Sensors and Strong Mobile Sensors
- Source :
- IEEE Transactions on Mobile Computing. 16:1956-1966
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Recently, the concept of barrier-coverage of wireless sensor network has been introduced for various civilian and military defense applications. This paper studies the problem of how to organize hybrid sensor network, which consists of a number of energy-scarce ground sensors with homogenous initial battery level and energy-plentiful mobile sensors, to maximum the lifetime of barrier-coverage. Two key observations are (a) as the lifetime of each mobile sensor is much longer than that of the static ground sensors, each mobile sensor is capable of contributing multiple sensor barrier formations, and (b) no mobile sensor node can join two hybrid barriers which will be successively used to continuously protect the area of interest due to the moving delay. Based on these, we introduce a new maximum lifetime barrier-coverage problem in hybrid sensor network. We first propose a simple heuristic algorithm by combining existing ideas along with our own. Then, we design another efficient algorithm for the problem and prove that the lifetime of hybrid barrier constructed by this algorithm is at least three times greater than the existing one on average. Our simulation result shows that the second algorithm outperforms the first algorithm at least 33 percent and up to 100 percent.
- Subjects :
- Brooks–Iyengar algorithm
Computer Networks and Communications
Computer science
business.industry
010401 analytical chemistry
Real-time computing
Mobile computing
020206 networking & telecommunications
02 engineering and technology
01 natural sciences
0104 chemical sciences
Key distribution in wireless sensor networks
Sensor node
0202 electrical engineering, electronic engineering, information engineering
Mobile wireless sensor network
Wireless
Algorithm design
Electrical and Electronic Engineering
business
Wireless sensor network
Software
Computer network
Subjects
Details
- ISSN :
- 15361233
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Mobile Computing
- Accession number :
- edsair.doi...........9f466186eaa11273d1bf9dd5ac51a00c
- Full Text :
- https://doi.org/10.1109/tmc.2016.2606403