Wireless Mobile Sensor Networks: Protocols and Mobility Strategies

Jun, Jung Hyun; Xie, Bin; Agrawal, Dharma P.

doi:10.1007/978-1-84882-218-4_24

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…The major difference between MLS and Dijkstra's algorithm is that in MLS, there is no need for the new node to have the shortest path to the root among existing nodes in each stage that the new node is added to the spanning tree, but it should avoid the nodes that currently have heavy loads. Running computations in the presented algorithm for selection of a node with lower load causes high energy consumption in network [15].…”

Section: Related Workmentioning

confidence: 99%

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A firefly algorithm for power management in wireless sensor networks (WSNs)

Pakdel

Fotohi

2021

J Supercomput

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In Wireless Sensor Networks (WSNs), designing a stable, low-power routing protocol is a major challenge because successive changes in links or breakdowns destabilize the network topology. Therefore, choosing the right route in this type of network due to resource constraints and their operating environment is one of the most important challenges in these networks.Therefore, the main purpose of these networks is to collect appropriate routing information about the environment around the network sensors while observing the energy consumption of the sensors. One of the important approaches to reduce energy consumption in sensor networks is the use of the clustering technique, but in most clustering methods, only the criterion of the amount of energy of the cluster or the distance of members to the cluster has been considered. Therefore, in this paper, a method is presented using the firefly algorithm and using the four criteria of residual energy, noise rate, number of hops, and distance. The proposed method called EM-FIREFLY is introduced which selects the best cluster head with high attractiveness and based on the fitness function and transfers the data packets through these cluster head to the sink.The proposed method is evaluated with NS-2 simulator and compared with the Algorithm-PSO and Optimal clustering methods. The evaluation results show the efficiency of the EM-FIREFLY method in Maximum relative load and Network Lifetime criteria compared to other methods discussed in this article.

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Section: Related Workmentioning

confidence: 99%

“…Therefore, the objective (fitness) function for nodes with the highest attraction is calculated according to Eq. (15). Finally, the nodes with highest fitness function are selection as the cluster head for sending cluster information and collecting data to be sent to the sink.…”

Section: Third Phase: Application Of the Firefly Algorithmmentioning

confidence: 99%

A firefly algorithm for power management in wireless sensor networks (WSNs)

Pakdel

Fotohi

2021

J Supercomput

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“…The MO's visits (e.g., i th ) would be defined by the gateway/remote server or applications specific. However, the aim of mobile object is to distribute the new secret keys (for every i th visit) to the static nodes [11] and collect the sensed data from nodes [1]. In order to accomplish the task, MO needs to route through the center of the Voronoi cells.…”

Section: A System Modelmentioning

confidence: 99%

“…In general, most of traditional WSNs are stationary wireless sensor networks (SWSNs). Recently, the involvement of moving objects (moving robots, vehicle, animal, etc) have shown that how a mobile object can potentially improve the network performance in terms of network lifetime, network coverage and network connectivity, and manage the resources at sensor side [1] [2]. Moreover, numbers of mobile object-based research interests have been shown in [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

A Mobile Object-Based Secret Key Distribution Scheme for Wireless Sensor Networks

Kumar

Porambage

Ylianttila

et al. 2013

2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference On

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Security is a paramount requirement in any modern technology. This also applies to wireless sensor networks (WSNs), where sensor nodes have severe resources scarcity. Recently the presence of mobile object (e.g., moving robot, vehicle, etc) has shown their great impact on WSNs. However, as the low-cost sensor networks become wide-spread, secret key distribution to the sensor nodes is a challenging task in such unattended WSNs. In this regards, this paper presents a mobile object-based secret key distribution scheme for resource hungry sensor nodes. The key idea is that a mobile object should visit all the sensor nodes along its pre-defined path and distribute secret keys within its broadcasting range. The proposed scheme exploits the symmetric cryptographic approach. The feasibility of proposed scheme is advocated using real testbed experiments. The analysis reveals that the proposed scheme attains high efficiency (in terms of computation and communication costs), and provides strong security.

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