DocumentCode :
3773820
Title :
Formal modeling and algorithm of subnet-based backup assigning in WSAN
Author :
Hamra Afzaal;Nazir Ahmad Zafar
Author_Institution :
Department of Computer Science, COMSATS Institute of Information Technology, Sahiwal, Pakistan
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Recently significant improvement in wireless sensor and actor networks has been made due to the increased interest of researchers. But still there is a need to overcome many operational challenges particularly in safety-critical and mission-critical large-scale applications. We propose a model of Subnet-Based Backup Assigning (SBBA) algorithm in wireless sensor and actor networks which assumes partitioning in WSAN into subnets. It identifies critical and non-critical nodes in each subnet and each critical node designates an appropriate backup to monitor the primary critical node and inter-actor connectivity is maintained within the subnet. In addition, it selects gateway node in each subnet to communicate with other subnets and a gateway node designates an appropriate backup to monitor the primary gateway node and inter-gateway connectivity is maintained among subnets. To prove the correctness of the proposed algorithm, this paper introduces a formal approach, i.e., VDM-SL for formal specification and analysis of SBBA algorithm in WSANs. We model topology and subnet of WSAN as dynamic graph and implement SBBA into a corresponding formal specification using VDM-SL. For the validation of the algorithm invariants are put on the data where it is required and for the correct operation of communication pre and post conditions are defined. The specification of the SBBA algorithm is verified, analyzed and validated using VDM-SL toolbox.
Keywords :
"Logic gates","Algorithm design and analysis","Topology","Formal specifications","Partitioning algorithms","Monitoring","Robot sensing systems"
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (ICICT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICICT.2015.7469593
Filename :
7469593
Link To Document :
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