Mobile ad-hoc network routing protocols of time-critical events for search and rescue missions

Hassan, Marwan Hamid; Mostafa, Salama A.; Mahdin, Hairulnizam; Ramli, Azizul Azhar; Hassan, Mustafa Hamid; Jubair, Mohammed Ahmed

doi:10.11591/eei.v10i1.2506

Cited by 31 publications

(17 citation statements)

References 17 publications

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“…As Mininet contains hosts, smart water meters in our simulations are represented by these hosts. We consider a network containing 30 switches, four communicating hosts, and varying controllers (1,3,5,7,9,11). The lower link (the connection between hosts and switches) bandwidth is set to 5 Mbps, while the upper link bandwidth is set to 10 Mbps.…”

Section: Resultsmentioning

confidence: 99%

“…These platforms are integrated with advanced information technologies such as fog and cloud computing, the internet of things (IoT), and smart grid to construct smart water grids (SWGs). Unfortunately, the existing data routing approaches fail in some scenarios, such as finding the shortest path in multi-hop networks if required [4], [5]. Moreover, because of the increasing complexity of water-related water-related problems, water scarcity, water pollution, leakages, and aging of the water components (pipelines, reservoirs, pumps, etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A smart water grid network for water supply management systems

Ali¹,

Saadi²,

Mahmood

et al. 2022

Bulletin EEI

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This paper proposes a smart water grids network (SWGN) architecture that combines the advantages of fog computing, internet of things (IoT), long range wide area network (LoRaWAN), and Software-defined networking (SDN). The main aims of the SWG architecture are to optimize data routing and monitor water supply and quality in real-time. SWGN handles a vast amount of data that is collected by IoT devices from different points related to water supply and quality. The data is processed in a distributed way by a number of fog servers that are located at the edge of the network. The fog controllers are deployed at the fog layer in order to take action locally for frequent events. The cloud layer has a cloud controller to take actions globally for infrequent events. The LoRaWAN provides communication technology that allows devices to operate regularly. The SDN technology decouples network traffic to control data routing decisions efficiently. A primitive evaluation under the Mininet emulator, focusing on SDN, shows the feasibility and efficiency of the architecture.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A smart water grid network for water supply management systems

Ali¹,

Saadi²,

Mahmood

et al. 2022

Bulletin EEI

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“…In [15], the authors presented a comparison between three protocols-AODV, DSDV, and AOMDV-in different metrics packet delivery ratios, throughputs, end to end delays, and packet loss ratios. The simulation time was in the range of 600 to 3400 seconds.…”

Section: Dynamic Manet On-demandmentioning

confidence: 99%

Performance Evaluation of Different Mobile Ad-hoc Network Routing Protocols in Difficult Situations

Alkahtani¹,

Alturki²

2021

IJACSA

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Performance evaluation of Mobile Ad-hoc Network (MANET) routing protocols is essential for selecting the appropriate protocol for the network. Many routing protocols and different simulation tools were proposed to address this task. This paper will introduce an overview of MANETs routing protocols as well as evaluate MANET performance by using three reactive protocols-Dynamic Source Routing (DSR), Ad-Hoc On-demand Distance Vector (AODV), and Dynamic MANET On-Demand (DYMO)-in three different scenarios. These scenarios are designed carefully to mimic real situations by using OMNET++. The first scenario evaluates the performance when the number of nodes increases. In the second scenario, the performance of the network will be evaluated in the presence of obstacles. In the third scenario, a group of nodes will be suddenly shut down during the communication. The network evaluation is carried out in terms of packets received, end-to-end delay, transmission count or routing overhead, throughput, and packet ratio.

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“…Akyildiz et al [23] proposed that a protocol with the least delay and best accuracy is suited for real time applications, even if it does not enhance energy efficacy. The potential correlations between energy, delay, and the number of collected data samples should also be taken care by routing protocols [24]- [26]. For example, collecting a greater number of packets increases energy consumption and delay, especially when the data sources are randomly scattered in the network.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems

et al. 2021

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The exploration and mapping of unknown environments, where the reliable exchange of data between the robots and the base station (BS) also plays a pivotal role, are some of the fundamental problems of mobile robotics. The maximum energy of a robot is utilized for navigation and communication. The communication between the robots and the BS is limited by the transmission range and the battery capacity. This situation inflicts constraints while designing an effective communication strategy for a multi-robot system (MRS). The biggest challenge lies in designing a unified framework for navigation and communication of the robots. The underlying notion is to utilize the minimum energy for communication (without limiting the range/efficiency of communication) to ensure that the maximum energy can be used for navigation (for larger area coverage). In this work, we present a communication strategy by using adaptive flower pollination optimization algorithm for MRS in conjunction with simultaneous localization and mapping (SLAM) technique for navigation and map making. The proposed strategy has been compared with multiple routing algorithms in terms of network life time and energy efficiency. The proposed strategy performs 4% better compared with harmony search algorithm (HSA) and approximately 10% better compared with distance aware residual energy-efficient stable election protocol (DARE-SEP) in terms of the total network lifetime when 50% of robots are alive. The performance drastically improves by 20% till the last robot is alive compared with HSA and approximately 26% compared with DARE-SEP. Hence, the energy saved during communication with the utilization of proposed strategy helps the robots explore more areas, which ultimately elevates the efficacy of the whole system.

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Mobile ad-hoc network routing protocols of time-critical events for search and rescue missions

Cited by 31 publications

References 17 publications

A smart water grid network for water supply management systems

A smart water grid network for water supply management systems

Performance Evaluation of Different Mobile Ad-hoc Network Routing Protocols in Difficult Situations

Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems

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