Efficient deployment quality analysis for intrusion detection in wireless sensor networks
| Autor: | Mohamed Ouadou, Moulay Ahmed Faqihi, Driss Aboutajdine, Brahim Elbhiri, Noureddine Assad |
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| Rok vydání: | 2015 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry media_common.quotation_subject Node (networking) Real-time computing 020206 networking & telecommunications 02 engineering and technology Intrusion detection system Key distribution in wireless sensor networks Transmission (telecommunications) Software deployment Sensor node 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Electrical and Electronic Engineering business Wireless sensor network Information Systems media_common Computer network |
| Zdroj: | Wireless Networks. 22:991-1006 |
| ISSN: | 1572-8196 1022-0038 |
| DOI: | 10.1007/s11276-015-1015-z |
| Popis: | The intrusion detection in a Wireless Sensor Network is defined as a mechanism to monitor and detect any intruder in a sensing area. The sensor deployment quality is a critical issue since it reflects the cost and detection capability of a wireless sensor network. The quality of deterministic deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. In the intrusion detection application, it is necessary to define more precise measures of sensing range, transmission range, and node density that impact overall system performance. The major question is centred around the quality of intrusion detection in WSN, how we can guarantee that each point of the sensing area is covered by at least one sensor node, and what a sufficient condition to guarantee the network connectivity? In this paper, we propose an appropriate probabilistic model which provides the coverage and connectivity in k-sensing detection of a wireless sensor network. We have proved the capability of our approach using a geometric analysis and a probabilistic model. |
| Databáze: | OpenAIRE |
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