Round-table negotiation for fast restoration of connectivity in partitioned wireless sensor networks
| Autor: | Debasish Ghose, Sachin Shriwastav |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science Node (networking) media_common.quotation_subject Process (computing) 020206 networking & telecommunications 02 engineering and technology Negotiation Round table Hardware and Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Wireless sensor network Software media_common Computer network |
| Zdroj: | Ad Hoc Networks. 77:11-27 |
| ISSN: | 1570-8705 |
| Popis: | This paper addresses the problem of restoration of connectivity in wireless sensor networks after multiple simultaneous node failures. Such failures of multiple nodes may split the network into several clusters. These clusters are unaware of their own size, surviving nodes and links as well as size and location of other survivor clusters. A distributed and autonomous approach of reconnecting disjoint clusters in a short time is proposed, in which each survivor cluster undergoes a self-discovery process where it compiles information of connected survivors and then sends a negotiator to participate in a round table negotiation and decision-making process. All such negotiators exchange information and decide upon reconnection paths between clusters through known dead node locations and then assign nodes to be deployed on those paths, using available nodes. The negotiators then return to their respective clusters, convey the decision and the reconnection process is carried out. Analytical results of the self-discovery process have been obtained and simulation results on a large network are presented to illustrate the process. It is shown through a detailed comparison with existing methods that the proposed approach achieves reconnection in significantly lower time and compares favorably with respect to other performance metrics as well. |
| Databáze: | OpenAIRE |
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