DocumentCode :
3121385
Title :
Framework for enhanced joint connectivity and coverage using random based distribution in WSN
Author :
Sakkari, Deepak S. ; Basavaraju, T.G.
Author_Institution :
Dept. of CSE, Jawaharlal Nehru Technol. Univ., Hyderabad, India
fYear :
2013
fDate :
4-6 July 2013
Firstpage :
1
Lastpage :
7
Abstract :
Wireless sensor network is gradually drawing attention in the area of smart communication system where it was found to use it either in small or large scale environment. However, small scale deployment is found to use pattern based topology like Voronoi, square, diamond, angular etc. But for real time scenario applicable in human inaccessible large scale area, sensor nodes needs to be deployed randomly where the location of the sensor node is hard and near impossible to determine. This process may lead to connectivity and coverage issue which is detrimental towards the communication in WSN. Hence, the proposed paper introduces a framework for enhancing connectivity and coverage simulated over random based topology. The performance is checked by observing the results derived from pattern based topology and random based topology with respect to packet delivery ratio, packet generated and packet drop.
Keywords :
telecommunication network topology; wireless sensor networks; WSN; enhanced joint connectivity; human inaccessible large scale area; packet delivery ratio; packet drop; pattern based topology; random based distribution; random based topology; sensor nodes; smart communication system; wireless sensor network; Algorithm design and analysis; Batteries; Diamonds; Mathematical model; Sensors; Topology; Wireless sensor networks; Connectivity; Coverage; Random Topology; Transmission Range; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
Type :
conf
DOI :
10.1109/ICCCNT.2013.6726519
Filename :
6726519
Link To Document :
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