Ant-Based Routing Protocol for Energy Efficient Use in Mobile Ad Hoc Networks

Zhou, Jipeng; Jian-zhu, LU; Li, Jin

doi:10.1007/978-94-007-5857-5_68

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ants colony optimization (ACO) based Routing protocols in wireless sensor network is recurrent in the literature [17,18,19]. These work treat the issues of the energy limitation in nodes with consequence on the performances of the sensors network.…”

Section: Related Workmentioning

confidence: 99%

Antnet Pheromone-Based Stochastic Multipath Routing Protocols using Hidden Markov Models for Energy Enhancement in Wireless Sensor Networks

Moundounga

Satori

Sanhaji

et al. 2022

Preprint

View full text Add to dashboard Cite

Evolving of Wireless Sensor Network (WSNs) a type of infrastructure-less networks by tens, hundreds, thousandths, or billions of devices that provide indispensable services for the phenomenon study become more used in many industries with many applications. Forest fire tracking, environmental monitor, healthcare, seismic and volcano surveillance, Internet of Devices and everything, and now internet of vehicles is the new trend of network of devices. These devices and things mostly exchange data between many sources and destinations using a special computer mechanism, the routing protocols to optimized the using of network and devices resource to retrieve their path.Additionally, constraints like network capabilities, storage, computational, energy consumption, and so on, many researches were conducted to proposed routing protocols that limited the network effort and the all of things’ interaction to extend the lifetime. In the present paper Antnet routing protocol which is classed in the Ant Colony Optimization heuristic is inspired on the ants behavior to define a stochastic based model permitting to predict the ants path to reach final destination using biological substance deposit on all visited paths to establish a new form of routing table that can be exploit for the purpose of the optimization objective. Conducted experimentation and obtained results show that the using of the pheromone in multiple paths by ants during trips permit to conserve effectively the available resources, reduce control overhead, residual overall, and optimize the energy consumption. Our new routing mechanism based on stochastic models performs well that compared existing routing.

show abstract

Section: Related Workmentioning

confidence: 99%

Antnet Pheromone-Based Stochastic Multipath Routing Protocols using Hidden Markov Models for Energy Enhancement in Wireless Sensor Networks

Moundounga

Satori

Sanhaji

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Many routing protocols [2][3][4][5][6][7][8][9][10] have been studies in networks, routing algorithms for MANETs based on ACO have been proposed in [2][3][4][5][6][7][8]. AntHocNet [2] is a hybrid multi-path algorithm with the principle of ACO-based routing in MANETs.…”

Section: Introductionmentioning

confidence: 99%

“…The minimum battery energy remaining from the weakest node and the hop-count of the route are used as the metrics for path discovery. An ant-based energy-efficient routing protocol (AEERP) is proposed in MANETs [7], where the route choice is dependent on not only the number of hops between nodes, but also the energy consumed in transmitting packets and the residual energy of nodes. AEERP can balance the energy consumption of nodes in the network and extends the network lifetime.…”

Section: Introductionmentioning

confidence: 99%

Ant colony-based energy control routing protocol for mobile ad hoc networks under different node mobility models

Zhou

Tan

Deng

et al. 2016

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

The energy of nodes is limited in mobile ad hoc networks(MANETs). In order to extend the network lifetime, how to select the best route is a critical issue for routing protocols in MANETs. In this work, we propose the ant colony-based energy control routing (ACECR) protocol to find an optimal route by using the positive feedback character of ant colony optimization (ACO). In our ACECR protocol, the routing choice depends on not only the number of hops between nodes and the node energy, but also the average and the minimum energy of the routes. The performance of our ACECR routing protocols is evaluated in different mobility models. In addition, we do extensive simulations to study the movement characteristics of different mobility models and their effect on routing protocols. Simulation results show that ACECR has a better performance in balanced energy consumption and a longer network lifetime compared with existing protocols.

show abstract