TY - GEN
T1 - An improved ELGossiping data distribution technique with emphasis on reliability and resource constraints in wireless sensor network
AU - Norouzi, Ali
AU - Dabbaghian, Mehdi
AU - Hatamizadeh, Alireza
AU - Ustundag, Burak Berk
AU - Amiri, Fatemeh
PY - 2010
Y1 - 2010
N2 - Sensor networks are composed of many sensors usually far from the region is available. Routing in wireless sensor networks for the transfer of information from sensor nodes to base station is especially important. Optimum consumption of energy is important requirements in wireless sensor networks because sensor systems typically use battery power. In this paper with a routing algorithm to determine the optimal path of energy consumption viewpoint for information transfer from sensor nodes to base station with the data transmission we have presented multi-skip. In this algorithm when a sensor felt event, the node that was in transmission radius of sensor and it had minimum distance to the main station as next step is selected and send to only one node is selected. Finally, the proposed algorithm compare with Gossiping and LGossiping algorithms as simulation results show the proposed algorithm has better performance.
AB - Sensor networks are composed of many sensors usually far from the region is available. Routing in wireless sensor networks for the transfer of information from sensor nodes to base station is especially important. Optimum consumption of energy is important requirements in wireless sensor networks because sensor systems typically use battery power. In this paper with a routing algorithm to determine the optimal path of energy consumption viewpoint for information transfer from sensor nodes to base station with the data transmission we have presented multi-skip. In this algorithm when a sensor felt event, the node that was in transmission radius of sensor and it had minimum distance to the main station as next step is selected and send to only one node is selected. Finally, the proposed algorithm compare with Gossiping and LGossiping algorithms as simulation results show the proposed algorithm has better performance.
KW - Component
KW - Optimum consumption of energy
KW - Routing algorithm
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=77954405001&partnerID=8YFLogxK
U2 - 10.1109/ICECTECH.2010.5479964
DO - 10.1109/ICECTECH.2010.5479964
M3 - Conference contribution
AN - SCOPUS:77954405001
SN - 9781424474059
T3 - ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology
SP - 179
EP - 183
BT - ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology
T2 - 2010 International Conference on Electronic Computer Technology, ICECT 2010
Y2 - 7 May 2010 through 10 May 2010
ER -