Geographic Routing in Extreme-Scale Highly-Dynamic Mobile Ad Hoc Networks

Newton, Ben; Aikat, Jay; Jeffay, Kevin

doi:10.1109/mascots.2016.73

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Sensor motion can be used to solve many of the network challenges [10, 13] such as the leakage of healthy peers, those required for self‐healing process. There are diverse types of mobility models used in network simulators [14, 30–32]. Among these models is the RJM model, which is one of the simplest and widely used to estimate the performance of mobile networks [14].…”

Section: Preliminariesmentioning

confidence: 99%

Trade‐off between self‐healing and energy consumption in mobile unattended WSNs

Hassan

Elsafrawey

Dessouky

2018

IET Information Security

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Section: Preliminariesmentioning

confidence: 99%

Trade‐off between self‐healing and energy consumption in mobile unattended WSNs

Hassan

Elsafrawey

Dessouky

2018

IET Information Security

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“…In mobile ad hoc networks (MANETs), 1 the nodes are in a mobile state, and because of wireless connections, the nodes communicate with each other. The nodes can leave or join the network at any time.…”

Section: Introductionmentioning

confidence: 99%

Geographic routing with hybrid firefly algorithm and galactic swarm optimization for efficient ‘void’ handling in mobile ad hoc networks

Kaliyamurthi

Anandhakumar

2020

Int J Communication

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Summary Geographic routing in mobile ad hoc network (MANET) has gained much attention even though it fails to find a route when a node meets a void zone (hole). Therefore, an efficient approach is required to avoid the void issues and to effectively transfer the data packets if a path is available between the source and destination nodes. For such, a hybrid evolutionary algorithm is introduced with geographical routing protocol (GRP) for avoiding the void, which selects the shortest route for routing from the source to the destination by combining firefly (FF) algorithm and galactic swarm optimization (HFFGSO). This proposed algorithm exploits the strengths of both the FF algorithm and galactic swarm mechanisms. In this paper, the cross‐layer design approach is implemented, which contains data link and network layer. The proposed hybrid FFGSO‐GRP algorithm improves the routing process within these layers. The implementation process for this proposed technique is carried out in NS2 simulator. From the simulation results, it is observed that our hybrid protocol when compared with the existing approaches proves its significance in terms of packet delivery ratio (PDR), delay, throughput, energy efficiency, power consumption, routing overhead and hop count.

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Richerzhagen¹

2018

Mechanism Transitions in Publish/Subscribe Systems

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Geographic Routing in Extreme-Scale Highly-Dynamic Mobile Ad Hoc Networks

Cited by 7 publications

References 17 publications

Trade‐off between self‐healing and energy consumption in mobile unattended WSNs

Trade‐off between self‐healing and energy consumption in mobile unattended WSNs

Geographic routing with hybrid firefly algorithm and galactic swarm optimization for efficient ‘void’ handling in mobile ad hoc networks

State of the Art

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