Title :
Cluster-based failure detection and recovery scheme in wireless sensor network
Author :
Redwan, Hassen ; Akele, Gebere ; Ki-Hyung Kim
Author_Institution :
Dept. of Comput. Eng., Ajou Univ., Suwon, South Korea
Abstract :
Application areas of Wireless Sensor Networks (WSNs) are increasing from time to time. Failure detection and recovery mechanism is crucial for WSNs as sensor nodes are resource-constrained and deployed in distributed hostile environments that necessitate such mechanism. To avoid unnecessary constrained resource consumption and ensure the quality of services, it is important to use efficient failure detection mechanism and take appropriate actions to alleviate further degradation of the services in WSNs. Therefore, in this paper we propose a cluster-based failure detection and recovery mechanism in a grid-based large scale distributed Wireless Sensor Networks. We also analyze existing research works that deals with failure detection mechanisms in WSN and compare their performance using performance metrics such as communication cost, detection accuracy, network connectivity and complexity. OPNET simulation tool is used to evaluate the communication cost and scalability of the proposed failure detection and recovery scheme in a grid of WSN with large number of sensor nodes.
Keywords :
quality of service; wireless sensor networks; OPNET simulation tool; WSN; cluster based failure detection; communication cost; constrained resource consumption; detection accuracy; distributed hostile environments; failure detection mechanisms; grid based large scale distributed wireless sensor networks; network complexity; network connectivity; quality of services; recovery scheme; sensor nodes; Accuracy; Energy states; Fault detection; Scalability; Simulation; Tin; Wireless sensor networks; cluster-based detection; failure detection; failure recovery; wireless sensor network;
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
Conference_Location :
Shanghai
DOI :
10.1109/ICUFN.2014.6876824