scholarly journals An Energy Optimization Algorithm for Mobile Ad Hoc Network

2012 ◽  
Vol 2 (10) ◽  
pp. 20-26
Author(s):  
Mohamed Belkheir ◽  
Zeyad Qacem ◽  
Merahi Bouziani ◽  
Abderrahmane Ghelamellah
Keyword(s):  
Optimization Algorithm ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Energy Optimization ◽  
Mobile Ad Hoc

scholarly journals MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yaohua Chen ◽  
Waixi Liu
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Optimization Algorithm ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Lithium Ion ◽  
Mac Layer ◽  
Battery Model ◽  
Mobile Ad Hoc

Mobile ad hoc network is a network composed of mobile terminals without infrastructure. Due to its fast-networking ability, it is widely used in smart cities, car networking, military, agriculture, medicine, and other fields. Routing technology is a key technology in the field of MANET (mobile ad hoc network). The energy consumption is optimized through the technical network simulator NS-3, and the nodes in the MANET routing protocol can accurately simulate the problem, thereby optimizing the MAC layer of important research tools. This article combines the advantages of the lithium-ion (lithium) battery model. Compared with the KiBaM battery model, the effective charge in the KiBaM model simulates the output voltage well, which can reflect the battery capacity effect rate and the recovery effect of the lithium-ion-KiBaM battery model. The model can respond to the characteristics of the output voltage as the society gets lower and lower. In order to solve the problem that the analytic solution of differential equations cannot be obtained in the model, a numerical solution of the optimization algorithm is proposed based on the implicit Runge–Kutta method. The MAC layer energy consumption and routing protocol optimization algorithm proposed in this paper can be applied well in various fields.

Adaptive-atom whale optimization algorithm using autonomous mobile ad hoc network for energy-efficient multipath routing

2020 ◽  
pp. 2050052
Author(s):  
Suresh R. Halhalli ◽  
B. N. Jagdale ◽  
Shounak Rushikesh Sugave
Keyword(s):  
Routing Protocol ◽  
Optimization Algorithm ◽  
Energy Efficient ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Multipath Routing ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Mobile Ad Hoc

Mobile ad hoc network (MANET) consists of a group of self-operated mobile nodes that form a network without considering predefined infrastructure. In the network, each node poses less energy due to battery-operated sensor nodes. Numerous methods are devised for routing, but each method suffered from the energy constraint. This paper proposes an energy-efficient multipath routing protocol for exploiting different routes between source and destination to mitigate energy constraints. The key idea is to determine the optimal path from a set of paths available between the source and the target node. To improve the security in routing protocol, the factors, like energy, trust, and mobility are considered as major components. Here, the trust is modeled by considering trust factors, like average encounter rate (AER), successful cooperation frequency (SCF), direct trust, integrity factor, and forwarding rate factor. Moreover, secure routing is performed between the nodes using the proposed Adaptive-Atom Whale Optimization algorithm (Adaptive-AWOA). The proposed Adaptive-AWOA) is designed by incorporating the Adaptive concept in the Atom Whale Optimization algorithm (AWOA). The fitness function is newly modeled considering mobility, energy, and trust factors. The proposed Adaptive-AWOA outperformed the other methods with a minimal end-to-end delay of 0.009, maximal throughput of 85.802% and maximal packet delivery ratio (PDR) of 97.391%, respectively.

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