Bi-objective Cross-Layer Design Using Different Optimization Methods in Multi-flow Ad-Hoc Networks

Mehta, Ridhima; Lobiyal, D. K.

doi:10.1007/978-981-10-6544-6_6

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…We adopt a slightly similar system model as the one used in our previous works. 7,8 In particular, we simulate a general interconnected multiple session ad hoc network modeled by a directed acyclic graph γ = {N,L,M} with three parameters. In this notation, N represents the set of dedicated static nodes in the network with different capabilities and specifications that transmit data through their neighbors using a set of L internode communication links.…”

Section: System Modelmentioning

confidence: 99%

“…This problem formulated as a convex optimization problem was evaluated using the subgradient projection procedure by deriving a distributed iterative algorithm. Moreover in another work, 8 we employed three different numerical methods, namely, active‐set, interior‐point, and sequential quadratic programming (SQP) procedures to solve a bi‐objective nonlinear optimization program subject to the underlying network functional constraints in the challenged networking paradigm.…”

Section: Literature Surveymentioning

confidence: 99%

“…During contention, these nodes transmit control information with dynamic power control. We adopt a slightly similar system model as the one used in our previous works 7,8 . In particular, we simulate a general interconnected multiple session ad hoc network modeled by a directed acyclic graph γ = { N , L , M } with three parameters.…”

Section: System Modelmentioning

confidence: 99%

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Throughput and resource optimization for adaptive coding‐based random access networks with correlated sources

Mehta

2020

Int J Communication

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SummaryModern wireless communication networks frequently have lower application throughput due to higher number of collisions and subsequent retransmission of data packets. Moreover, these networks are characterized by restricted computational capacity due to limited node‐battery power. These challenges can be assessed for deploying fast, reliable network design with resource‐restrained operation by means of concurrent optimization of multiple performance parameters across different layers of the conventional protocol stack. This optimization can be efficiently accomplished via cross‐layer design with the aid of network coding technique and optimal allocation of limited resources to wireless links. In this paper, we evaluate and analyze intersession coding across several source–destination pairs in random access ad hoc networks with inherent power scarcity and variable capacity links. The proposed work addresses the problem of joint optimal coding, rate control, power control, contention, and flow control schemes for multi‐hop heterogeneous networks with correlated sources. For this, we employ cross‐layer design for multiple unicast sessions in the system with network coding and bandwidth constraints. This model is elucidated for global optimal solution using CVX software through disciplined convex programming technique to find the improved throughput and power allocation. Simulation results show that the proposed model effectively incorporates throughput and link power management while satisfying flow conservation, bit error rate, data compression, power outage, and capacity constraints of the challenged wireless networks. Finally, we compare our model with three previous algorithms to demonstrate its efficacy and superiority in terms of various performance metrics such as transmission success probability, throughput, power efficiency, and delay.

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Section: System Modelmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

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Throughput and resource optimization for adaptive coding‐based random access networks with correlated sources

Mehta

2020

Int J Communication

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Recursive quadratic programming for constrained nonlinear optimization of session throughput in multiple‐flow network topologies

Mehta

2020

Engineering Reports

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In this article, we propose and formulate a single‐objective nonlinearly constrained programming problem with delay and capacity constraints. Specifically, we consider the utility resource allocation with the goal of maximizing the throughput amongst the multiple heterogeneous sessions in the network. Several numerical experiments for multiple topologies exhibit the performance and global convergence process of the proposed iterative algorithm. These network topologies are considered with distinct source‐destination communication sessions to emphasize the traffic flow analysis and optimal rate allocation vectors. For this, we employ recursive quadratic programming method and Lagrangian multiplier approach to solve the proposed optimization problem. The presented numerical results are obtained using Octave simulation tool. The results obtained from implementation of numerical simulation demonstrate the robustness and convergence performance of the proposed optimization scheme to optimal solution within finite number of iterations. Finally, we employ various global measures of fairness including the entropy‐based index, G's fairness index, linear product‐based fairness index, and Bossaer's fairness index to assess the performance of the proposed resource allocation scheme.

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Genetic algorithm based bi-objective optimization of sigmoidal utility and throughput in ad-hoc wireless networks

Mehta

2022

Evol. Intel.

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Bi-objective Cross-Layer Design Using Different Optimization Methods in Multi-flow Ad-Hoc Networks

Cited by 3 publications

References 11 publications

Throughput and resource optimization for adaptive coding‐based random access networks with correlated sources

Throughput and resource optimization for adaptive coding‐based random access networks with correlated sources

Recursive quadratic programming for constrained nonlinear optimization of session throughput in multiple‐flow network topologies

Genetic algorithm based bi-objective optimization of sigmoidal utility and throughput in ad-hoc wireless networks

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