Improving UWSNs security and data reliability using a cluster controlled mobility scheme

Elsafrawey, Amir S.; Hassan, Emad S.; Dessouky, Moawad I.

doi:10.1109/infos.2014.7036721

Cited by 2 publications

(7 citation statements)

References 17 publications

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“…In this section, the theoretical expressions are used to test the performance of the SH-CCM scheme and compare its performance with the schemes proposed in [9]. The theoretical results of the analytical model are obtained using N = 500, p = 0.2, k = 100.…”

Section: Theoretical and Numerical Results Discussionmentioning

confidence: 99%

“…Before starting with the Analytical analysis of the SH-CCM scheme, there are initial steps such as network initialization, encrypted data generation, data parts generation, node selection protocol, and data distribution which are explained in details in [1,9].…”

Section: The Proposed Analytical Modelmentioning

confidence: 99%

“…The forth solution depends on the cooperation principal; sensor cooperation has been shown to be an effective solution in UWSNs [1] . Finally, the mobility can be used to help and improve the chance of self-healing [9] . Sensor mobility enables a new set of possibilities in sensor networks; it is the complementary solution of the leakage of health peers.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we present analytical analysis of the SH-CCM scheme [9] for UWSNs which uses the sensors mobility within a cluster of sick sensors beside the cooperation between both types of peers, so an infusion between sensors can occur which increase the chance of finding health neighbours. Hence it enhances both data security and reliability.…”

Section: Introductionmentioning

confidence: 99%

“…Hence it enhances both data security and reliability. Similar to [9] , we define mobility model called Random Jump Controlled Mobility (RJCM) model which supports controlled mobility and only applied for some of the network sensors. The choice of these sensor will based on the idea that sensor tampering will require that the sensor to be removed from the network for a non-negligible amount of time [23].…”

Section: Introductionmentioning

confidence: 99%

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C21. Analytical analysis of a Cluster Controlled Mobility scheme for data security and reliability in UWSNs

Elsafrawey

Hassan

Dessouky

2015

2015 32nd National Radio Science Conference (NRSC)

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This paper investigates the security and data reliability in Unattended Wireless Sensor Networks (UWSNs). We deduce an analytical model for Self-Healing scheme based on Cluster Controlled Mobility (SH-CCM) for UWSNs. The SH-CCM is based on mobility inside a cluster of sick sensor beside the hybrid cooperation from both reactive and proactive peers to enhance self-healing probability. The analytical analysis of SH-CCM will ensure that both mobility and hybrid cooperation from both reactive and proactive peers within the cluster of sick sensor will enhance the Cooperation, Self-Healing, data security and reliability. Therefore, the proposed SH-CCM scheme will help the sick sensor to self-heal and restore its backward secrecy faster and better than the schemes without controlled mobility. A set of Analytical results are carried out to demonstrate the effectiveness of the proposed SH-CCM scheme in the presence of an Adversary (ADY). The obtained results ensure that the proposed scheme has a better performance; it archives a probability of BSe to be compromised of 0.04 while CHSHRD [1] is 0.065.

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Section: Theoretical and Numerical Results Discussionmentioning

confidence: 99%

Section: The Proposed Analytical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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C21. Analytical analysis of a Cluster Controlled Mobility scheme for data security and reliability in UWSNs

Elsafrawey

Hassan

Dessouky

2015

2015 32nd National Radio Science Conference (NRSC)

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An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks

Javaid

Ilyas

Ahmad

et al. 2015

Sensors

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Most applications of underwater wireless sensor networks (UWSNs) demand reliable data delivery over a longer period in an efficient and timely manner. However, the harsh and unpredictable underwater environment makes routing more challenging as compared to terrestrial WSNs. Most of the existing schemes deploy mobile sensors or a mobile sink (MS) to maximize data gathering. However, the relatively high deployment cost prevents their usage in most applications. Thus, this paper presents an autonomous underwater vehicle (AUV)-aided efficient data-gathering (AEDG) routing protocol for reliable data delivery in UWSNs. To prolong the network lifetime, AEDG employs an AUV for data collection from gateways and uses a shortest path tree (SPT) algorithm while associating sensor nodes with the gateways. The AEDG protocol also limits the number of associated nodes with the gateway nodes to minimize the network energy consumption and to prevent the gateways from overloading. Moreover, gateways are rotated with the passage of time to balance the energy consumption of the network. To prevent data loss, AEDG allows dynamic data collection at the AUV depending on the limited number of member nodes that are associated with each gateway. We also develop a sub-optimal elliptical trajectory of AUV by using a connected dominating set (CDS) to further facilitate network throughput maximization. The performance of the AEDG is validated via simulations, which demonstrate the effectiveness of AEDG in comparison to two existing UWSN routing protocols in terms of the selected performance metrics.

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Improving UWSNs security and data reliability using a cluster controlled mobility scheme

Cited by 2 publications

References 17 publications

C21. Analytical analysis of a Cluster Controlled Mobility scheme for data security and reliability in UWSNs

C21. Analytical analysis of a Cluster Controlled Mobility scheme for data security and reliability in UWSNs

An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks

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