MANET based emergency communication system for natural disasters

Verma, Himanshu; Chauhan, Naveen

doi:10.1109/ccaa.2015.7148424

Cited by 23 publications

(9 citation statements)

References 11 publications

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“…Through performance analysis and simulations, the study claimed that the proposed framework in terms of the packet delivery ratio, network overhead and throughput overtakes many modern data transfer approaches. Another study [46] proposed the concept of hybrid cellular-MANET architecture using available cellular base stations in post-disaster situations. The proposed architecture is responsive to device mobility and possesses the self-organizing feature of MANET.…”

Section: Post-disaster Communication Networkmentioning

confidence: 99%

The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

et al. 2019

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The recent development of big data analytics (BDA) and the Internet of Things (IoT) technologies create a huge opportunity for both disaster management systems and disaster-related authorities (emergency responders, police, public health, and fire departments) to acquire state-of-the-art assistance and improved insights for accurate and timely decision-making. The motivation behind this research is to pave the way for effective utilization of the available opportunities that the BDA and IoT collaboratively offer to predict, understand and monitor disaster situations. Most of the conventional disaster management systems lack the support for multiple new data sources and real-time big data processing tools that can assist decision makers with quick and accurate results. This paper highlights the importance of BDA and IoT for disaster management and investigates recent studies directed towards the same. We classify a thematic taxonomy with several related attributes and inspect the prevalent solutions to propose a conceptual reference model for the deployment of BDA-and IoT-based disaster management environments. The reference model with its proposed integrated parameters can provide guidelines to harvest, transmit, manage, and analyze disaster data from various data sources to deliver updated and valuable information for disaster management. We also enumerate some important use cases from a disaster management perspective. Finally, we highlight the main research challenges that need to be addressed in such an important field of research. INDEX TERMS Big data analytics, data sources, disaster communications, disaster management, Internet of Things, reference model, taxonomy.

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Section: Post-disaster Communication Networkmentioning

confidence: 99%

The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

et al. 2019

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“…(iv) Several works present potential solutions that could be used to know the victims that are within range [3,15]. Also, Mobile Ad Hoc Networks approaches as the ones proposed in [31][32][33] could be used among…”

Section: Main Assumptionsmentioning

confidence: 99%

An Intelligent Strategy for Tactical Movements of UAVs in Disaster Scenarios

Sánchez-García

García-Campos

Toral

et al. 2016

International Journal of Distributed Sensor Networks

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Unmanned Aerial Vehicles (UAVs) are envisioned as flexible and fast-deploying communication network for disaster scenarios, where the typical communication infrastructure is likely to be malfunctioning. A few works propose UAVs for building communication links autonomously between rescue team's members in disaster scenarios. The techniques used are usually based on navigation, positioning, and signal strength processing. However, these techniques may not be enough if the objective is to provide communication services to the maximum number of victims and rescuers and not only to a few rescuers. In this situation, dissimilarity metrics, like the Jaccard distance, can provide information about whether the communication service provided to victims is efficient or not (e.g., providing a better distribution of the victims assigned to each UAV acting as service provider). We propose an intelligent strategy that allows UAVs to perform tactical movements in a disaster scenario, combining the Jaccard distance and artificial intelligence algorithms like hill climbing and simulated annealing. Our strategy maximizes the number of victims that are serviced by the UAVs while avoiding network disconnections. Also, a mobility model specifically developed for modelling the victims' movements within the incident site of a disaster scenario is proposed.

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“…Traditional solutions [1][2][3][4] attempt to build up a Mobile Ad Hoc Network (MANET) by distributing antennas in the affected area. This may be a solution from a communication point of view but, in reality, the feasibility of these solutions for large-scale disasters tends to be zero.…”

Section: Introductionmentioning

confidence: 99%

Efficient Opportunistic Routing Protocol for Sensor Network in Emergency Applications

2020

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Routing or forwarding information, such as the location of incidents and victims in a disaster, is significantly important for quick and accurate incident response. However, forwarding such information in disaster areas has been a challenging task for the Wireless Sensor Network as existing networks are affected (destroyed or overused) the disaster. Opportunistic information forwarding can play a vital role in such circumstances. Existing opportunistic routing protocols require huge message transmissions for cluster restoration, which is not energy efficient and results in packet loss. Hence, this paper introduces an energy efficient and reliable opportunistic density cluster-based routing protocol that opportunistically transmits data using a density-clustering protocol for emergency and disaster situations. Simulation results show that the proposed protocol outperforms some existing and well-known routing protocols in terms of network energy consumption, throughput and successful data transmissions.Electronics 2020, 9, 455 2 of 17 sensors can communicate properly and efficiently manage their energy consumption and forward information to the first responders. In this protocol, nodes carry stored messages while moving around and forward them whenever an opportunity arises. This opportunity is simply making a contact with a node that knows how to route the message closer to the desired receiver. Hence, a route is built dynamically from the sender to the receiver. Any node can possibly be the next hop in an opportunistic forwarding. Figure 1 demonstrates such an opportunistic network for disaster recovery.

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MANET based emergency communication system for natural disasters

Cited by 23 publications

References 11 publications

The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

An Intelligent Strategy for Tactical Movements of UAVs in Disaster Scenarios

Efficient Opportunistic Routing Protocol for Sensor Network in Emergency Applications

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