PLASMA: A new routing paradigm for wireless multihop networks

Laufer, Rafael; Velloso, Pedro B.; Vieira, Luiz F. M.; Kleinrock, Leonard

doi:10.1109/infcom.2012.6195683

Cited by 28 publications

(34 citation statements)

References 10 publications

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“…In some other applications, throughput maximization is the main concern. Therefore, these works either use the ETX metric [18], [33], [34], [52], [53] or more advanced ETX-based metrics, namely the EAX metric [42], the EATT metric [44], the Expected One hop Throughput (EOT) metric [29] and the Opportunistic Effective One hop Throughput (OEOT) metric [54]. The latter two characterize the tradeoff between the packet advancement and the packet forwarding time by integrating routing factors related to packet advancement, link reliability and forwarding delay.…”

Section: ) Candidate Relays Prioritizationmentioning

confidence: 99%

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A Survey on Opportunistic Routing in Wireless Communication Networks

Chakchouk

2015

IEEE Commun. Surv. Tutorials

232

170

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The great advances made in the wireless technology have enabled the deployment of wireless communication networks in some of the harshest environments like volcanoes, hurricaneaffected regions, and underground mines. In such challenging environments suffering from the lack of infrastructure, traditional routing is not efficient, and sometimes not even feasible. Moreover, the exponential growth of the number of wireless connected devices has created the need for a new routing paradigm that could benefit from the potentials offered by these heterogeneous wireless devices. Hence, in order to overcome the traditional routing limitations, and to increase the capacity of current dynamic heterogeneous wireless networks, the opportunistic routing paradigm has been proposed and developed in recent research works. Motivated by the great interest that has been attributed to this new paradigm within the last decade, we provide a comprehensive survey of the existing literature related to opportunistic routing. We first study the main design building blocks of opportunistic routing. Then, we provide a taxonomy for opportunistic routing proposals, based on their routing objectives as well as the optimization tools and approaches used in the routing design. Hence, five opportunistic routing classes are defined and studied in this paper, namely geographic opportunistic routing, link-state-aware opportunistic routing, probabilistic opportunistic routing, optimization-based opportunistic routing, and cross-layer opportunistic routing. We also review the main protocols proposed in the literature for each class. Finally, we identify and discuss the main future research directions related to the opportunistic routing design, optimization and deployment.

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Section: ) Candidate Relays Prioritizationmentioning

confidence: 99%

“…This approach consists in running optimization algorithms that can directly determine the optimal candidate relays set for each node without having to apply any filtering technique [41], [42], [44]. For instance, candidate relay sets are generated by a Dijkstra-like algorithm in [44].…”

Section: ) Candidate Relays Prioritizationmentioning

confidence: 99%

A Survey on Opportunistic Routing in Wireless Communication Networks

Chakchouk

2015

IEEE Commun. Surv. Tutorials

232

170

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“…We compare these two algorithms with other three algorithms. The first is the PLASMA algorithm proposed in [17], which combines both anycast and anypath routing to exploit multiple gateways of WMNs. This algorithm is a typical representative of works that are based on heuristics.…”

Section: Simulationsmentioning

confidence: 99%

“…The work in [16] takes into account the locations of the gateways and forwards packets to the direction with higher gateway density. PLASMA proposed in [17] advances the study to combine both anycast and multiple path routing to further exploit multiple gateways.…”

Section: Related Workmentioning

confidence: 99%

“…For example, Lakshmanan et al in [15] and Lenders et al in [16] propose anycast routing schemes in which wireless mesh nodes simultaneously associate with multiple gateways and forward packets to low-congested gateways. Laufer et al in [17] advances the study to combine both anycast and anypath routing to further exploit multiple gateways. Although these studies can improve network performance to a certain extent, they are based on heuristics and do not necessarily lead to optimal utilization of multiple gateways.…”

Section: Introductionmentioning

confidence: 99%

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