2018
DOI: 10.1007/s11276-017-1651-6
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Towards overhead mitigation in state-free geographic forwarding protocols for wireless sensor networks

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Cited by 7 publications
(4 citation statements)
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“…The similarity of DWSIGF, FuGeF and SRBGR is that the protocols do not implement in the presence of DoS attacks and the energy consumed by the sensor nodes remains high. Directional Compact Geographic Forwarding (DCGF) 12 is used as a benchmark protocol of this study that integrates two active energy conservation mechanisms. The combination of smart antenna and QoS aggregation introduced in DCGF was implemented to mitigate excessive overhead production, subsequently reducing the energy consumed and delay.…”
Section: Introductionmentioning
confidence: 99%
“…The similarity of DWSIGF, FuGeF and SRBGR is that the protocols do not implement in the presence of DoS attacks and the energy consumed by the sensor nodes remains high. Directional Compact Geographic Forwarding (DCGF) 12 is used as a benchmark protocol of this study that integrates two active energy conservation mechanisms. The combination of smart antenna and QoS aggregation introduced in DCGF was implemented to mitigate excessive overhead production, subsequently reducing the energy consumed and delay.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, they lack in performance metrics like delay which is not efficient for real-time communication. Therefore, TDMA scheduling under cluster architecture is proposed in WSNs [5][6][7][8][9]. Adaptive distributed randomized [10] is a cluster-based TDMA scheme for wireless sensor networks.…”
Section: Introductionmentioning
confidence: 99%
“…In a resource constraint environment such as WSNs, it is importance to propagate the information as efficiently as possible among the neighboring nodes. Consequently, minimizing the energy‐consumption and improving the deliverability of the information to the sink node is very critical . The energy‐consumption plays a crucial role, and therefore, it effects other factors such as end‐to‐end delay and data reliability in the proper functioning of the WSNs.…”
Section: Introductionmentioning
confidence: 99%