Lifeline: Emergency Ad Hoc Network

Cheong, Se-Hang; Lee, Kai-Ip; Si, Yain-Whar; U, Leong Hou

doi:10.1109/cis.2011.70

Cited by 9 publications

(5 citation statements)

References 13 publications

(10 reference statements)

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“…Boundary nodes are crucial for locating the existence of a network and for maintaining communication with other networks. The emergency depicted in Lifeline comprises a scenario highlighting the use of mobile ad hoc networks [1].…”

Section: Discussionmentioning

confidence: 99%

“…Reducing the stiffness value reduces the level of energy for a pair of nodes, as described in equation (1). Therefore, we conducted an experiment to evaluate the effect of stiffness on different drawing frames with varying sizes while keeping the stiffness coefficient at 1.0.…”

Section: Kamada-kawai With Multi-node Selection and Decaying Stiffnesmentioning

confidence: 99%

“…In these situations, mobile devices within the ad hoc network can transmit emergency messages via nearby nodes to emergency service providers or rescue teams. Lifeline [1] is a prototype emergency ad hoc network that aims to enable the user to forward emergency messages based on a mobile ad hoc network protocol. The Lifeline App [1] is designed to instantly form an ad hoc emergency network using the Wi-Fi signals that originate from the mobile phones of disaster victims.…”

Section: Introductionmentioning

confidence: 99%

“…Lifeline [1] is a prototype emergency ad hoc network that aims to enable the user to forward emergency messages based on a mobile ad hoc network protocol. The Lifeline App [1] is designed to instantly form an ad hoc emergency network using the Wi-Fi signals that originate from the mobile phones of disaster victims. It also uses signals from backup battery-powered wireless routers deployed by search and rescue teams.…”

Section: Introductionmentioning

confidence: 99%

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Accelerating the Kamada-Kawai Algorithm for Boundary Detection in a Mobile Ad Hoc Network

Cheong

2016

ACM Trans. Sen. Netw.

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Force-directed algorithms such as the Kamada-Kawai algorithm have shown promising results for solving the boundary detection problem in a mobile ad hoc network. However, the classical Kamada-Kawai algorithm does not scale well when it is used in networks with large numbers of nodes. It also produces poor results in non-convex networks. To address these problems, this paper proposes an improved version of the Kamada-Kawai algorithm. The proposed extension includes novel heuristics and algorithms that achieve a faster energy level reduction. Our experimental results show that the improved algorithm can significantly shorten the processing time and detect boundary nodes with an acceptable level of accuracy.

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Section: Discussionmentioning

confidence: 99%

Section: Kamada-kawai With Multi-node Selection and Decaying Stiffnesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accelerating the Kamada-Kawai Algorithm for Boundary Detection in a Mobile Ad Hoc Network

Cheong

2016

ACM Trans. Sen. Netw.

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“…Sensor networks are useful for monitoring animals, earthquakes and tsunamis, 204 emergency message forwarding during disasters 205 and so on. An example visualisation of sensor localisation is illustrated in Figure 5(b) (which is generated by using the OOMap service).…”

Section: Applications Of Force-directed Algorithmsmentioning

confidence: 99%

Force-directed algorithms for schematic drawings and placement: A survey

Cheong

2019

Information Visualization

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Force-directed algorithms have been developed over the last 50 years and used in many application fields, including information visualisation, biological network visualisation, sensor networks, routing algorithms, scheduling, and graph drawing. Our survey provides a comprehensive summary of developments and a full roadmap for state-of-the-art force-directed algorithms in schematic drawings and placement. We classified the model of force-directed algorithms into classical and hybrid. The classical force-directed algorithms are further classified as follows: (a) accumulated force models, (b) energy function minimisation models and (c) combinatorial optimisation models. The hybrid force-directed algorithms are classified as follows: (a) parallel and hardware accelerated models, (b) multilevel force-directed models and (c) multidimensional scaling force-directed algorithms. Five categories of application domains in which force-directed algorithms have been adopted for schematic drawings and placement are also summarised: (a) aesthetic drawings for general networks, (b) component placement and scheduling in high-level synthesis of very-large-scale integration circuits design, (c) information visualisation, (d) biological network visualisation and (e) node placement and localisation for sensor networks.

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MAAS: A mobile cloud assisted architecture for handling emergency situations

Sarkar

Panigrahi

Pati

et al. 2019

Int J Communication

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SummaryRecent advancements in the area of Mobile Cloud Computing (MCC) have significantly contributed towards assisting mankind to handle varied types of emergency situations that may arise as a result of different natural calamities like earthquakes, floods, fire, etc, which may cause huge damage to public property and result in loss of wealth of the nation. In this work, we have proposed a mobile cloud assisted architecture that supports the multicloud and hybrid‐cloud environments, together with Cloud Probing Service (CPS) and Cloud Ranking Service (CRS). The proposed algorithm consumes data from the sensor nodes and offloads the data to the most suitable cloud. A three‐layered architecture has been proposed, and the anchor points facilitate in the creation of the interface between the different layers. The simulation results indicate that the proposed mobile cloud assisted architecture for handling emergency situations (MAAS) approach performs better than the baseline algorithms.

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Lifeline: Emergency Ad Hoc Network

Cited by 9 publications

References 13 publications

Accelerating the Kamada-Kawai Algorithm for Boundary Detection in a Mobile Ad Hoc Network

Accelerating the Kamada-Kawai Algorithm for Boundary Detection in a Mobile Ad Hoc Network

Force-directed algorithms for schematic drawings and placement: A survey

MAAS: A mobile cloud assisted architecture for handling emergency situations

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