2013 10th International Conference on Information Technology: New Generations 2013
DOI: 10.1109/itng.2013.86
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Energy efficient information assured routing based on hybrid optimization algorithm for WSNs

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Cited by 5 publications
(3 citation statements)
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“…ACO algorithms are a class of metaheuristic algorithms that mimic the cooperative behavior of ants in a food search process to achieve complex computations. They have been proven to be very efficient in solving many different discrete optimization problems [43,44]. Examples of such problems include the traveling salesman problem (TSP), the vehicle routing problem (VRP), and routing algorithms in mobile ad hoc networks.…”
Section: Routing Protocols For Wmsnsmentioning
confidence: 99%
“…ACO algorithms are a class of metaheuristic algorithms that mimic the cooperative behavior of ants in a food search process to achieve complex computations. They have been proven to be very efficient in solving many different discrete optimization problems [43,44]. Examples of such problems include the traveling salesman problem (TSP), the vehicle routing problem (VRP), and routing algorithms in mobile ad hoc networks.…”
Section: Routing Protocols For Wmsnsmentioning
confidence: 99%
“…In the first category, a small density WSN with 49 nodes, simulation is performed with 4 malicious nodes (1,3,5,7), and then in the next category of simulation, 4 more malicious nodes are added (10,18,21,23), and in the third category further 4 malicious nodes are added (20, 12,15,13). In the end, there are a total of 12 malicious nodes as shown in Fig.1 (a).…”
Section: The Network Model As Shown Inmentioning
confidence: 99%
“…BIOARP has shown an improved performance as compared to LQER, MM-SPEED, RPAR, RTPC, and RTLD [10]. With respect to security, BIOSARP has less processing time, and provides more efficient security measures over TinySec-AE, TinySec-Auth, TinyHash, LBRS-Auth, EBSS, SRTLD, and SPINS [11].…”
Section: Introductionmentioning
confidence: 99%