An improved cross layer cooperative routing for vehicular networks

Shafi, Shaik; Bhandari, B. N.; Ratnam, D. Venkata

doi:10.1109/rains.2016.7764427

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…Energy Factor [17] The delay time at each node in the network is defined as the difference between the time at which the node responds to route request packet and the time of reception over a time T (sec). It also can be calculated based on Transmission range and relative velocity of the node using the equation (1).…”

Section: Hop-count Delay Timementioning

confidence: 99%

Energy Factor Based Routing Algorithm for Lifetime Enhancement in Mobile Ad-Hoc Networks

Shafi¹,

Kumar²,

P³

2022

ECS Trans.

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Energy consumption and dissipation of mobile nodes is considered as one of the significant aspect affecting the entire lifetime of Mobile Ad-Hoc Networks (MANETs), as the nodes depends on limited battery power. In addition, spatial and temporal characteristics of mobile nodes also make energy imbalance in the network. Towards this, there are several studies that emphasis on improving the network lifetime and reliability by altering the existing MANET routing protocols. In this paper, an Energy Factor based Ad-Hoc On Demand Distance Vector routing algorithm (EF-AODV) is proposed in MANETs for lifetime enhancement. The proposed technique includes two algorithms by leveraging the cross layer paradigm. Firstly, proposed EF-AODV dynamically chooses intermediate nodes based on battery power, and mobility of the nodes in the direction of destination. Secondly, for uniform energy consumption, we calculate the energy factor at each intermediate mobile node by considering the sleep and ideal states of the nodes along with mobility. Further, the energy factor is considered as a key metric to obtain the optimal path from the source to the destination to balance the energy disparity in the network, leading to reduced delay in packet transmission. The path with highest energy factor value is selected for networking of data packets. Upon extensive simulation using Network Simulator (NS-2.34), we illustrate that the proposed EF-AODV outperforms over existing ad-hoc routing approaches under the various performance metrics.

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Section: Hop-count Delay Timementioning

confidence: 99%

Energy Factor Based Routing Algorithm for Lifetime Enhancement in Mobile Ad-Hoc Networks

Shafi¹,

Kumar²,

P³

2022

ECS Trans.

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“…They derived the rate monotonic algorithm (RMA) and earliestdeadline-first (EDF) scheduling to achieve a low deadline miss rate. Shafi et al[24] developed a cross-layer design-based cooperative routing model over VANET to achieve higher throughput and low loss ratios. Unlike[22], Gawas et al focused, in[25], on achieving multilayer functionality from the PHY layer to the routing layer, to accomplish cooperative communication over MANET.…”

mentioning

confidence: 99%

CL-mWSNs: Cross Layer Model-Based QoS Centric Routing Protocol for Mission-Critical Cooperative Communication in Mobile WSNs

Reddy¹,

Devanagavi²,

N³

2019

JTIT

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The paper presents a robust QoS centric routing protocol for mission-critical communication over mobile Wireless Sensor Networks (CL-mWSN) that exploits dynamic network states from the diﬀerent layers of the IEEE 802.15.4 protocol stack to make the routing decision. The CL-mWSN protocol exploits three key layers: application layer, network layer and MAC layer. It exhibits proactive network and node table management, service diﬀerentiation, fair resource scheduling and congestion detection, avoidance at the network layer, as well as dynamic link quality estimation and packet injection rate estimation at the MAC layer to assess its candidature as the best forwarding node for QoS-centric mission-critical communication. Simulation reveals that the proposed routing model exhibits higher throughput, minimum loss and deadline miss ratio that augments QoS provision in mobile WSNs.

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Design and performance evaluation of V2X communication protocol based on Nakagami-m outage probability

Wang

Zhang

et al. 2020

J Ambient Intell Human Comput

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An improved cross layer cooperative routing for vehicular networks

Cited by 5 publications

References 19 publications

Energy Factor Based Routing Algorithm for Lifetime Enhancement in Mobile Ad-Hoc Networks

Energy Factor Based Routing Algorithm for Lifetime Enhancement in Mobile Ad-Hoc Networks

CL-mWSNs: Cross Layer Model-Based QoS Centric Routing Protocol for Mission-Critical Cooperative Communication in Mobile WSNs

Design and performance evaluation of V2X communication protocol based on Nakagami-m outage probability

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