The Localized Discovery and Recovery for Query Packet Losses in Wireless Sensor Networks with Distributed Detector Clusters

Sensors

Rui Teng²  Kenji Leibnitz¹ 

[1] Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Osaka 565-0871, Japan; E-Mail:;Wireless Network Research Institute, National Institute of Information and Communications Technology, Yokosuka 239-0847, Japan; E-Mail:

关键词: sensor networks;    query loss;    immune systems;    query loss discovery;    collective recovery;   

DOI  :  10.3390/s130607472

来源: mdpi

【 摘 要 】

An essential application of wireless sensor networks is to successfully respond to user queries. Query packet losses occur in the query dissemination due to wireless communication problems such as interference, multipath fading, packet collisions, etc. The losses of query messages at sensor nodes result in the failure of sensor nodes reporting the requested data. Hence, the reliable and successful dissemination of query messages to sensor nodes is a non-trivial problem. The target of this paper is to enable highly successful query delivery to sensor nodes by localized and energy-efficient discovery, and recovery of query losses. We adopt local and collective cooperation among sensor nodes to increase the success rate of distributed discoveries and recoveries. To enable the scalability in the operations of discoveries and recoveries, we employ a distributed name resolution mechanism at each sensor node to allow sensor nodes to self-detect the correlated queries and query losses, and then efficiently locally respond to the query losses. We prove that the collective discovery of query losses has a high impact on the success of query dissemination and reveal that scalability can be achieved by using the proposed approach. We further study the novel features of the cooperation and competition in the collective recovery at PHY and MAC layers, and show that the appropriate number of detectors can achieve optimal successful recovery rate. We evaluate the proposed approach with both mathematical analyses and computer simulations. The proposed approach enables a high rate of successful delivery of query messages and it results in short route lengths to recover from query losses. The proposed approach is scalable and operates in a fully distributed manner.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.