By Aravind Iyer, Sunil S. Kulkarni, Vivek Mhatre, Catherine P. Rosenberg (auth.), Yingshu Li, My T. Thai, Weili Wu (eds.)
ISBN-10: 0387495916
ISBN-13: 9780387495910
ISBN-10: 0387495924
ISBN-13: 9780387495927
Wireless sensor networks are at present being hired in quite a few functions starting from scientific to army, and from domestic to undefined. Wireless Sensor Networks and Applications goals to supply a reference software for the expanding variety of scientists who rely on trustworthy sensor networks.
The publication is split into 5 sections: layout and modeling, community administration, facts administration, defense, and purposes. The eighteen self-contained chapters are authored through specialists in instant networking. each one bankruptcy is given expository but in addition scholarly remedy, overlaying the background of its particular subject, reviewing state of the art pondering relative to the subject, and discussing at present unsolved difficulties of specified interest.
Key Features:
*Explores diversified entry keep an eye on protocols and get up recommendations in instant sensor networks;
*Discusses a number of time-synchronization thoughts and demanding situations, i.e., directed diffusion, tiny aggression, grasping aggression on directed diffusion;
*Provides insights in community protection, i.e., safe routing, and correct management;
*Elaborates on quite a few instant sensor community purposes, i.e., the ExScal program and the XSM platform.
The subject matters coated inside this booklet are meant for researchers, machine engineers, utilized mathematicians, and graduate scholars drawn to instant sensor networks, yet uninformed readers can also locate this quantity stimulating and helpful.
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Additional resources for Wireless Sensor Networks and Applications
Sample text
43. T. Shepard. Decentralized channel management in scalable multihop spread spectrum packet radio networks. Technical Report Technical Report MIT/LCS/TR-670, Massachusetts Institute of Technology Laboratory for Computer Science, July 1995. 44. E. Shih, S. Cho, N. Ickes, R. Min, A. Sinha, A. Wang, and A. Chandrakasan. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In Seventh Annual ACM Conference on Mobile Computing and Networking (ACM MOBICOM’01), Rome, Italy, Jul 2001.
Technical Report Technical Report LIDS-P906-A, Laboratory of Information Decision Systems, Massachusetts Institute of Technology, Oct 1979. 18. S. Ganeriwal, R. Kumar, and M. B. Srivastava. Timing-sync protocol for sensor networks. In SenSys’03, Los Angeles, California, USA, Nov 2003. 19. J. V. Greunen and J. Rabaey. Lightweight time synchronization for sensor networks. In WSNA’03, San Diego, California, USA, Sep 2003. 20. C. C. M. Rabaey. Low power distributed mac for ad hoc sensor radio networks.
Reliable Packet Delivery: As the sensory data was oversampled by a factor of three, no link layer retransmissions were employed to guarantee successful data delivery. Hence in the case of a single-hop network, the packet delivery rate met expectations. However in the case of a multi-hop network, the packet delivery rate was smaller than expected. The collisions and the congestion was not a major factor, as the nodes used a CSMA MAC protocol and the total network utilization was small. It was concluded that the single-hop packet loss rate along with the correlated node failures lead to substantial packet losses that increased exponentially with the number of hops.
Wireless Sensor Networks and Applications by Aravind Iyer, Sunil S. Kulkarni, Vivek Mhatre, Catherine P. Rosenberg (auth.), Yingshu Li, My T. Thai, Weili Wu (eds.)
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