Title :
Wireless sensor networks routing protocol based on ant colony algorithm
Author :
Xiangping, Gu ; Ying, Jin ; Ronglin, Hu ; Liqing, Chen
Author_Institution :
Sch. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
Abstract :
In the paper, we provide a novel routing algorithm (ANRP), which is based on Ant Colony System. The aim of the ANRP is to solve the problem of limited energy for wireless sensor network routing process. It is able to achieve better load balance and prolong the network lifetime. ANRP combines the ratio of the residual energy and the total energy with the distance of any two nodes, which is used as the control factor of the decision probability. Furthermore, in the incremental equation of pheromone, it also considers data packets length and the hop-size between source node and destination node. In this way, NARP can search the optimize path from the source node to destination node and balances the energy consumption for WSNs. Simulation results demonstrate that NARP has better performance than AODV.
Keywords :
ant colony optimisation; routing protocols; telecommunication network reliability; wireless sensor networks; ANRP routing protocol; ant colony algorithm; data packet hop-size; data packet length; decision probability; destination node; energy consumption; load balance; network lifetime; residual energy; source node; total energy; wireless sensor network routing protocol; Artificial neural networks; Collaboration; Educational institutions; Instruments; Ant Colony; Pheromone; Routing Protocol; Wireless Sensor Networks;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269430
