2015
DOI: 10.1007/978-3-319-19662-6_2
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Geographic GReedy Routing with ACO Recovery Strategy GRACO

Abstract: Geographic routing is an attractive routing strategy in wireless sensor networks. It works well in dense networks, but it may suffer from the void problem. For this purpose, a recovery step is required to guarantee packet delivery. Face routing has widely been used as a recovery strategy since proved to guarantee delivery. However, it relies on a planar graph not always achievable in realistic wireless networks and may generate long paths. In this paper, we propose GRACO, a new geographic routing algorithm tha… Show more

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Cited by 9 publications
(14 citation statements)
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“…The performance of GRACO was compared to the greedy-facegreedy (GFG) routing algorithm. Simulations results presented in [18], shows that GRACO outperforms GFG in term of end-to-end delay, data delivery cost and hop count. Besides, GRACO provides a high data delivery rate.…”
Section: B Overview Of Gracomentioning
confidence: 98%
See 1 more Smart Citation
“…The performance of GRACO was compared to the greedy-facegreedy (GFG) routing algorithm. Simulations results presented in [18], shows that GRACO outperforms GFG in term of end-to-end delay, data delivery cost and hop count. Besides, GRACO provides a high data delivery rate.…”
Section: B Overview Of Gracomentioning
confidence: 98%
“…GRACO [18] is a geographic routing algorithm that combines a pheromone-assisted greedy forwarding mode and an Ant Colony Optimization (ACO) based recovery mode. In the beginning, GRACO makes the routing decision using geographic greedy forwarding strategy [14].…”
Section: B Overview Of Gracomentioning
confidence: 99%
“…Geographic GReedy routing with ACO recovery strategy (GRACO) [14] combines a modified greedy forwarding and a recovery strategy based on swarm intelligence. In the beginning, GRACO makes the routing decision using geographic greedy forwarding strategy [11].…”
Section: B Overview Of Gracomentioning
confidence: 99%
“…The performance of GRACO was compared to the greedy-face-greedy (GFG) routing algorithm [15]. Simulations results presented in [14], show that GRACO outperforms GFG in term of end-to-end delay, data delivery cost and hop count. Besides, GRACO provides a high data delivery rate.…”
Section: B Overview Of Gracomentioning
confidence: 99%
“…GRACO [34] is a geographic routing algorithm that combines a pheromone-assisted greedy forwarding mode and an Ant Colony Optimization (ACO) based recovery mode. In the beginning, GRACO makes the routing decision using geographic greedy forwarding strategy [33].…”
Section: B Overview Of Gracomentioning
confidence: 99%