Anycasting in DTNs using virtual magnetic fields

Oliveira, Jose Aelio de; Lima, Luiz Antônio Pugliesi Alves de; Andrade, Gil Eduardo de; Michelon, Gisane Aparecida

doi:10.1109/ccnc.2014.6994396

Cited by 1 publication

(2 citation statements)

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“…[13][14][15] Power saving, being the most significant key performance indicator (KPI) in these networks has attracted a lot of researchers toward it. A lot of research is done in literature to reduce the energy consumption in the medium access control (MAC) protocols as in Walchli et al 16 and multicast routing in Xiangli et al, 17 Cao et al, 18 and Wu and Candan.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Anycast routing method is widely researched in mobile and ad hoc networks in Dehghan et al, 9 Gao et al, 10 Kostin et al, 11 and Hao et al 12 and especially for the delay tolerant networks (DTNs) in paper. [13][14][15] Power saving, being the most significant key performance indicator (KPI) in these networks has attracted a lot of researchers toward it. A lot of research is done in literature to reduce the energy consumption in the medium access control (MAC) protocols as in Walchli et al 16 and multicast routing in Xiangli et al, 17 Cao et al, 18 and Wu and Candan.…”

Section: Literature Reviewmentioning

confidence: 99%

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Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

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A wireless-powered cooperative energy aware anycast routing protocol is proposed in this work. In contrary to conventional cooperative networks, it is considered here that all the relays did not have embedded energy supply, rather equipped with rechargeable batteries and energy harvesting units. Hence, from source signals, they accumulate sufficient harvested energy before the information is forwarded to its destination. Each relay between two basic modes will switch adaptively, which are information forwarding and energy harvesting. The research is limited to decode-and-forward scheme and fixed ratio combining, which works at the relay node of the network and the receiver end, respectively. The physical layer cooperative diversity and network layer multi-hop routing lead us to devise a minimum energy routing protocol as the joint optimization of power required for transmission at physical layer and also at network layer for the process to select a link. Simulating our algorithm demonstrates that the suggested cooperative energy aware anycast routing scheme has a better end-to-end delay and better ratio of packet delivery. Results further reveal that our proposed algorithm has improved energy consumption in comparison to the non-cooperative energy aware anycast scheme and the cooperation-based robust cooperative routing protocol scheme. Sensed data are allocated between nearby nodes by cooperative energy aware anycast routing in a cost-effective way in order to achieve maximum network lifetime.

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