Wireless Sensor Networks for Surveillance Applications &amp;#150; A Comparative Survey of MAC Protocols

Ali, Mohammed Sadeq Ali; Böhm, Annette; Jönsson, Magnus

doi:10.1109/icwmc.2008.53

Cited by 24 publications

(13 citation statements)

References 6 publications

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“…7-As shown in Figure 1, each node near the base station as nodes 1, 2 and 3 will form a group from its downstream nodes as nodes 4, 5, 6, 7, 8, 9, 10, 11 and 12. Then, each node of the nodes 4, 5 and 6 from the first group will form a group from its downstream nodes as nodes 13,14,15,16,17,18,19, 20 and 21. Also, each node of nodes 7, 8 and 9 from the second group will form a group from its downstream nodes as nodes 22, 23, 24, 25, 26, 27, 28, 29 and 30.…”

Section: Methodology To Build the Overlapped Groupsmentioning

confidence: 99%

“…In [12], a couple based compromised node detection protocol is proposed to build couples of sensor nodes where the couple can monitor each other but this scheme cannot be used against collaborative work of attackers to compromise large number of nodes because attackers can collect the couples at the same time. Also, software-based attestation techniques [13]- [18] have been proposed to verify the contents of the code running on nodes where the node's free memory space is filled with incompressible random noise known to the attester. These techniques use a challenge-response protocol between a trusted verifier and nodes.…”

Section: Related Workmentioning

confidence: 99%

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An Efficient Overlapped Groups based Compromised Nodes Detection at First Stage for WSN

Megahed

Makrakis

2012

The International Conference on Electrical Engineering

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Surveillance WSNs are deployed in hostile environments such as perimeter, border locations and battlefields to detect unauthorized intrusions. Therefore, Surveillance WSNs are highly vulnerable to collaborative work of attackers to compromise many legitimate nodes. Securing surveillance WSNs is challenging because of low-cost, limited capabilities, resource-constrained sensor nodes. Several protocols have been proposed for detecting compromised nodes. However, some protocols rely on an implicit assumption that compromised node will change its location or its signal strength will alter after it is compromised; other protocols use alert messages or reputation based trust models which require the nodes misbehavior to discover the compromised nodes. Node compromise attack is a multi-stage attack which consists of three stages: physically capturing and compromising sensor nodes; redeploying the compromised nodes back to network and compromised sensor nodes rejoining the network. Our work studies how to achieve high resiliency against an increasing number of compromised nodes in large surveillance WSN in hostile environment by collaborative work of attackers at the first stage. Specifically, after sensor nodes are deployed they first build overlapped groups in ad hoc pattern where a group is composed of four nodes. Then, the nodes within the overlapped groups can monitor each other to detect any node compromise attempt. We describe the building blocks that can be used to build the protocol for the detection process. Our protocol is designed to be resistant against large number of compromised nodes by collaborative work of attackers. Extensive simulation results are given to demonstrate the high detection rate of the proposed scheme.

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Section: Methodology To Build the Overlapped Groupsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Efficient Overlapped Groups based Compromised Nodes Detection at First Stage for WSN

Megahed

Makrakis

2012

The International Conference on Electrical Engineering

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“…They can be instrumental resources in investigating WLAN and WSN for the smart grid. Issues include time synchronization [79], power consumption [80], medium access control (MAC) [81], [82], routing and fault-tolerance [83], [84], data aggregation and clustering [85]- [87], coverage and connectivity [88], [89], multimedia [90], [91], QoS [92], as well as security and privacy [93]- [95].…”

Section: ) Wireline (Or Wired) Technologiesmentioning

confidence: 99%

The Progressive Smart Grid System from Both Power and Communications Aspects

Ansari

2011

IEEE Commun. Surv. Tutorials

168

112

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Abstract-The present electric power system structure has lasted for decades; it is still partially proprietary, energyinefficient, physically and virtually (or cyber) insecure, as well as prone to power transmission congestion and consequent failures. Recent efforts in building a smart grid system have focused on addressing the problems of global warming effects, rising energy-hungry demands, and risks of peak loads. One of the major goals of the new system is to effectively regulate energy usage by utilizing the backbone of the prospectively deployed Automatic Meter Reading (AMR), Advanced Meter Infrastructure (AMI), and Demand Response (DR) programs via the advanced distribution automation and dynamic pricing models. The function of the power grid is no longer a system that only supplies energy to end users, but also allows consumers to contribute their clean energy back to the grid in the future.In the meantime, communications networks in the electric power infrastructure enact critical roles. Intelligent automation proposed in smart grid projects include the Supervisory Control And Data Acquisition/Energy Management Systems (SCADA/EMS) and Phasor Management Units (PMU) in transmission networks, as well as the AMR/AMI associated with field/neighborhood area networks (FAN/NAN) and home area networks (HAN) at the distribution and end-use levels. This article provides an overview of the essentials of the progressive smart grid paradigm and integration of different communications technologies for the legacy power system. Additionally, foreseeable issues and challenges in designing communications networks for the smart grid system are also rigorously deliberated in this paper.

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“…WSNs have emerged as a feasible solution for a wide range of applications in military, environment monitoring, healthcare, etc [7], [8]. In almost all applications, the knowledge of sensors locations is essential, since sensed data are directly related to the place where measurements are made.…”

Section: Introductionmentioning

confidence: 99%