Power Aware Ant Colony Routing Algorithm for Mobile Ad-hoc Networks

Abdallah, Alaa E.; Abdallah, Emad E.; Hanandeh, Feras; Aljammal, Ashraf Hamdan; Al-Daoud, Essam

doi:10.14257/ijseia.2015.9.12.18

Cited by 2 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another ACO based multi-path routing is Application Research Based Ant Colony Optimization for MANET [25], which proposes an on-demand routing algorithm named ADAA for mobile ad hoc networks that combine many features of both AODV and DSR. To balance the load for routing in MANET, the multipath load balancing technique for congestion control (MLBCC) [26] proposed a mechanism that reduces congestion during data transmission and a routing protocol [27] designing technique according to the position of mobile nodes in MANET is also proposed. Multi-objective constraints with energy efficient routing technique based on ant colony optimization in mobile Ad-hoc networks (MCER-ACO) can have the ability to choose the next-hop node into a dynamic changing topology of MANET.…”

Section: Multi Agent Based Acomentioning

confidence: 99%

ACOLBR: ACO Based Load Balancing Routing In MANET

Dholey

Sinha

2021

Preprint

View full text Add to dashboard Cite

Real-time data transmission is one of the objectives of MANET (mobile ad-hoc network) to handle emergencies like a forest fire, flood, and earthquake. In this scenario, quick delivery of data is itself a challenging task for MANET and there is a possibility of load imbalance due to packet transmission in between source-destination pairs via the shortest path due to congestion or control overhead. In this paper, a novel routing protocol, called ACOLBR (ACO based load balancing routing), is design to control the congestion and balancing the load among the multiple paths in between source to destination. The similarity between the environment of Ant Colony and the MANET inspires the authors to apply ACO (Ant colony optimization) technique during routing in MANET to control congestion and balance the load in the network. In our proposal, two colonies of ants (red/blue) carry their packets based on the network condition. A decision variable is designed to select red/blue ant for transferring packets based on different network parameters such as bandwidth, energy, mobility, and distance. The selection of red ant means the route where the concentration of red pheromone is maximum and reverse is true for blue ant. This protocol is also concerns about the link failure during packet transmission in a route. Simulation results using OMNET++ show that ACOLBR outperforms ARA, ANTHOCNET, FACO, AODV, DSDV, DSR, CA-ARTT, and MOAODV in terms of load balancing efficiently in the route for data transmission in between source to destination.

show abstract

Section: Multi Agent Based Acomentioning

confidence: 99%

ACOLBR: ACO Based Load Balancing Routing In MANET

Dholey

Sinha

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…High energy consumption is one of the major challenges to be solved in designing the NUMA multicore systems and other systems [1,25]. The memory access time imbalance among cores in different nodes is one source of energy inefficiency.…”

Section: Introductionmentioning

confidence: 99%

Reducing Energy Cost of Multi-Threaded Programs on NUMA Architectures

Fang¹

2018

IJPE

View full text Add to dashboard Cite

Many recent data center servers are built with NUMA (Non-Uniform Memory Access) characteristics. Accessing remote memory generally takes longer time than accessing local memory. There are a lot of research works that discuss the performance improvement of NUMA multi-core systems. However, rare research work considers reducing the energy cost of NUMA multi-core systems. This work studies reducing energy cost of multi-threaded programs on NUMA architectures using DVFS (Dynamic Voltage and Frequency Scaling) adjustment strategy. We consider three factors of the multi-threaded programs which influence the energy saved by our DVFS adjustment strategy. These three factors are: (1) the memory access intensity of parallel programs; (2) the proportion of remote memory access; (3) the ratio between remote and local memory access latency. In addition, we propose two DVFS adjustment strategies to save the energy cost of multi-threaded programs. The energy-saving effect of these two DVFS adjustment strategies is influenced by these three factors. Two DVFS adjustment strategies can save maximally 20% and 39.2% of total energy when considering one factor and 33.3%, 48.1% of total energy when considering two factors, respectively.

show abstract

Power Aware Ant Colony Routing Algorithm for Mobile Ad-hoc Networks

Cited by 2 publications

References 5 publications

ACOLBR: ACO Based Load Balancing Routing In MANET

ACOLBR: ACO Based Load Balancing Routing In MANET

Reducing Energy Cost of Multi-Threaded Programs on NUMA Architectures

Contact Info

Product

Resources

About