The significant impact of a set of topologies on wireless sensor networks

Karim, Lutful; Salti, Tarek El; Mahmoud, Qusay H.

doi:10.1186/1687-1499-2012-120

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…We run the same experiment by placing BS outside, and center of all zones at coordinates (50,101) and (50,51). is very close to each other and overlaps at some data collection time.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…Afterwards, we introduce a new set of graphs referred to as the Mini Gabriel (MG) graphs to the CRTCA protocol that outperforms the existing Gabriel Graph (GG) [81,29] in terms of total network energy consumptions, routing delay, and data transmission delay. This work has been published in the EURASIP Journal on Wireless Communications and Networking [51]. Moreover, designing efficient packet scheduling, and data aggregation approaches are very important for reducing the end-to-end data transmission delay of the network.…”

Section: Ieee International Conference On Wireless and Mobile Computimentioning

confidence: 99%

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An integrated framework for wireless sensor network management

Karim

Mahmoud

Khan

2012

Wirel. Commun. Mob. Comput.

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Wireless Sensor Networks (WSNs) have significant potential in many application domains, and are poised for growth in many markets ranging from agriculture and animal welfare to home and office automation. Although sensor network deployments have only begun to appear, the industry still awaits the maturing of this technology to realize its full benefits. The main constraints to large scale commercial adoption of sensor networks are the lack of available network management and control tools for determining the degree of data aggregation prior to transforming it into useful information, localizing the sensors accurately so that timely emergency actions can be taken at exact location, and scheduling data packets so that data are sent based on their priority and fairness. Moreover, due to the limited communication range of sensors, a large geographical area cannot be covered, which limits sensors application domain. Thus, we investigate a scalable and flexible WSN architecture that relies on multi-modal nodes equipped with IEEE 802.15.4 and IEEE 802.11 in order to use a Wi-Fi overlay as a seamless gateway to the Internet through WiMAX networks. We focus on network management approaches such as sensors localization, data scheduling, routing, and data aggregation for the WSN plane of this large scale multimodal network architecture and find that most existing approaches are not scalable, energy efficient, and fault tolerant. Thus, we introduce an efficient approach for each of localization, data scheduling, routing, and data aggregation; and compare the performance of proposed approaches with existing ones in terms of network energy consumptions, localization error, end-to-end data transmission delay and packet delivery ratio. Simulation results, theoretical and statistical analysis show that each of these approaches outperforms the existing approaches. To the best of our knowledge, no integrated network management solution comprising efficient localization, data scheduling, routing, and data aggregation approaches exists in the literature for a large scale WSN. Hence, we efficiently integrate all network management components so that it can be used as a single network management solution for a large scale WSN, perform experimentations to evaluate the performance of the proposed framework, and validate the results through statistical analysis. Experimental results show that our proposed framework outperforms existing approaches in terms of localization energy consumptions, localization accuracy, network energy consumptions and end-to-end data transmission delay.

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“…We run the same experiment by placing BS outside, and center of all zones at coordinates (50,101) and (50,51). is very close to each other and overlaps at some data collection time.…”

Section: Experiments Resultsmentioning

confidence: 99%

Section: Ieee International Conference On Wireless and Mobile Computimentioning

confidence: 99%

An integrated framework for wireless sensor network management

Karim

Mahmoud

Khan

2012

Wirel. Commun. Mob. Comput.

Self Cite

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“…So cellular neighborhood in cellular automata i.e. communication neighbor of nodes in wireless sensor network can be defined as: (6) …”

Section: Cellular Neighborhoodmentioning

confidence: 99%

“…Considering the realtime performance of data collection and transmission, the choice of routing policy is very important [5]. In addition, the topology control has also been taken more and more attention [6]. Considering all kinds of network security attacks, the malware propagation problem of wireless sensor network is in focus.…”

Section: Introductionmentioning

confidence: 99%

The Model of Malware Propagation in Wireless Sensor Networks with Regional Detection Mechanism

Song

2015

Communications in Computer and Information Science

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Abstract. The characteristics of wireless sensor networks can be programmed over the air interface lead to a serious threat to its security. This paper proposed susceptible -infectious -recovered model of propagation based on two -dimensional cellular automata, which analyzes the characteristics of dynamic propagation in the wireless sensor networks with regional detection mechanism. Numerical simulation analysis shows that regional detection mechanism not only makes the wireless sensor networks regionalization, but also can inhibit the malware propagation in the wireless sensor networks by allowing the sensor to implement detecting strategy, thereby reducing the risk of large-scale outbreak of virus in wireless sensor networks.

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