Multilevel zone‐based hierarchical link state routing with location search technique applying hierarchical request for mobile ad hoc networks

Takahashi, M.; Bandai, Masaki; Sasase, Iwao

doi:10.1002/ecja.10228

Cited by 7 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Destination Sequence Distance Vector (DSDV) [15][16][17][18], Optimized Link State Routing (OLSR) [19][20][21] and Wireless Routing Protocol (WRP) [22] [23] are some of the most investigated proactive routing protocols. Finally hybrid routing protocols combines the advantages of proactive and reactive routing protocols as the Zone Routing Protocol (ZRP)) [24][25][26] and Zone-based Hierarchical Link State Routing Protocol (ZHLS) [27] [28]. Each type of these routing protocols could be further classified into single path as AODV, DSR and ZRP and multipath routing protocols as Ad hoc on-demand multipath distance vector routing (AOMDV) [29][30][31][32][33], Multipath Dynamic Source Routing (MP-DSR) [34] [35] and Routing On-demand Acyclic Multipath (ROAM) [36] [37].…”

Section: Introductionmentioning

confidence: 99%

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Sarhan

2021

IEEE Access

View full text Add to dashboard Cite

Energy consumption always represents a challenge in the ad hoc networks which spurred the researchers to benefit from the bio-inspired algorithms and their fitness functions to evaluate nodes energy through the path discovery stage. In this paper we propose energy efficient routing protocol based on the well-known Ad Hoc On-Demand Multipath Distance Vector (AOMDV) routing protocol and a bio-inspired algorithm called Elephant Herding Optimization (EHO). In the proposed EHO-AOMDV the overall consumed energy of nodes is optimized by classifying nodes into two classes, while paths are discovered from the class of the fittest nodes with sufficient energy for transmission to reduce the probability of path failure and the increasing number of dead nodes through higher data loads. The EHO updating operator updates classes based on separating operator that evaluates nodes based on residual energy after each transmission round. Experiments were conducted using Ns-3 with five evaluation metrics routing overhead, packet delivery ratio, average energy consumption, end-to-end delay and number of dead nodes and four implemented protocols the proposed protocol , AOMDV and two bio-inspired protocols ACO-FDRPSO and FF-AOMDV. Results indicated that the proposed EHO-AOMDV attained higher packet delivery ratio with less routing overhead, average energy consumption and number of dead nodes over the state of art while in the end-to-end delay AOMDV has outperformed the proposed protocol.

show abstract

Section: Introductionmentioning

confidence: 99%

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Sarhan

2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The convergence indicator deals with the development of technology and demand, which allows service providers to adopt innovative services and new models suitable for IoT applications. These simulation parameters provide an insight on network lifetime [49] as indicated in Figure 8. The heterogeneous mobile network has a better network convergence factor than its stationary counterpart.…”

Section: Throughput Analysismentioning

confidence: 99%

Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network

et al. 2022

View full text Add to dashboard Cite

Heterogeneous mobile networks are a vital cue for Internet of Things (IoT) networks and their applications. Therefore, an optimal routing protocol is essential for the heterogeneous network to realize energy efficiency and robustness. However, designing an optimal routing protocol is more complex due to uneven energy depletion and dynamic event generation. The complexity further increases with the node mobility. In this context, the multi-hop routing approach with a controlled mobility pattern provides an energy efficient network by improving memory and storage utilization. This work proposes a new energy-efficient model for heterogeneous network, considering the effect of mobility and residual energy of nodes for cluster head selection in multi-hop-LEACH (M-LEACH). The performance of the proposed mobility induced multihop LEACH (Mob M-LEACH) protocol is further compared with existing baseline methods. The robustness of the network is evaluated considering static and dynamic environments for multiple network technologies. The simulation results show that the proposed method reduces network latency by 25% and enhances the throughput by 75%, improving energy consumption and network lifetime when compared with the state-ofart methods. INDEX TERMSEnergy Consumption, Heterogeneous Mobile network, Internet of Things, M-LEACH, Network Convergence Indicator, access in IoT. Further, challenges for implementing IoT applications involve node density, hardware requirements, mode of communication, power utilization, and computational cost [2].

show abstract

“…Although designed for the same type of network, the features of each protocol show several differences. Table-driven routing protocols include destination sequenced distance vector (DSDV) (Perkins and Bhagwat, 1994), wireless routing protocol (WRP) (Johnson et al, 2001), global state routing (GSR) (Pei et al, 2000), fisheye state routing (FSR) (Pei et al, 2000), hierarchical state routing (HSR) (Pei et al, 1999), zone-based hierarchical link state routing protocol (ZHLS) (Takahashi et al, 2005), clusterhead gateway switching routing (CGSR) (Chiang et al, 1997).…”

Section: Mobile Ad Hoc Networkmentioning

confidence: 99%

Designing interconnected haptic interfaces and actuators for teleoperations in mobile ad hoc networks

Kokkonis¹,

Gounopoulos²,

Tsiamitros³

et al. 2020

IJENTTM

View full text Add to dashboard Cite

The growing acceptance of wireless ad hoc networks in war situations, emergency situations, research applications, and conference rooms has resulted in the massive growth of these networks. Interconnecting haptic interfaces in virtual environments is rather a demanding task. This paper presents the topology of the mobile ad hoc networks. Moreover, it outlines the thresholds, the limitations, and the techniques for using haptic interfaces for teleoperations in a mobile ad hoc network. Routing algorithms and congestion control techniques for using haptic interfaces in mobile ad hoc networks are analysed. Simulations are taken place in order to test whether an ad hoc network can support the interconnection of haptic interfaces. Resulting this, we could say that on-demand protocols, such as DSDV, are suitable for networks with a large number of nodes and frequent modifications of network topology.

show abstract

Multilevel zone‐based hierarchical link state routing with location search technique applying hierarchical request for mobile ad hoc networks

Cited by 7 publications

References 12 publications

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Elephant Herding Optimization Ad Hoc On-Demand Multipath Distance Vector Routing Protocol for MANET

Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network

Designing interconnected haptic interfaces and actuators for teleoperations in mobile ad hoc networks

Contact Info

Product

Resources

About