Abstract

AbstractWireless sensor and actor networks (WSANs) have various applications in safety and mission critical systems. Sensors are used for sensing the information whereas actors for taking intelligent decisions. Developing and modeling algorithms for WSANs have raised several research issues which have captured attention of the research community. Maintaining inter-actor connectivity or failure recovery is a critical issue in WSANs because these are deployed in harsh and inhospitable environment which may result into physical damage to actors loosing inter-actor connectivity. In case of failure of inter-actor connectivity, the topology of the network may be affected that might be inefficient to recover. Therefore an efficient subnet-based failure recovery algorithm (SFRA) is proposed in this work. It is assumed the partitioning of WSAN into subnets which localizes the failure recovery procedure at subnet level achieving objective of efficiency. Moreover, algorithm is hybrid as it assumes pre-failure planning and post-failure recovery. The proposed model is presented as a graph-based model to represent static part of the network topology. The graph model is transformed into a formal model using Vienna development method-specification language (VDM-SL). The static model is described by defining formal specification of subnets, network topology, sensors, actors and gateways as composite objects. The state space of the WSANs is described in the form of functions and operations as dynamic part of the model. Invariants are defined over the data types in static model for ensuring safety criteria and pre/post conditions are defined in functions and operations for changing state space of the system. The proposed model is validated and verified using VDM-SL Toolbox.

Highlights

  • Wireless sensor and actor networks (WSANs) have various applications in safety and mission critical systems because of their suitability in remote and harsh areas

  • Data types are defined for the static modelling whereas state, functions and operations are defined for the dynamic modelling

  • Vienna development method-specification language (VDM-SL) Toolbox is used for the analysis of the model

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Summary

Introduction

Wireless sensor and actor networks (WSANs) have various applications in safety and mission critical systems because of their suitability in remote and harsh areas. Body area networks (Fortino et al 2015), building management systems (Fortino et al 2012), internet of things (Fortino and Trunfio 2014) and WSN invulnerability (Fu et al 2013) are few important application areas of WSAN. WSANs are complex adaptive systems (CAS) because of using complex adaptive environment. WSANs employ sensors for complex sensing and actors for taking intelligent. Afzaal and Zafar Complex Adapt Syst Model (2016) 4:27 decisions and appropriate actions. Low battery power, less processing capability and short range of communication while actors are more expensive having powerful battery, processing capability and long range of communication. Developing and modelling of algorithms for WSANs have raised various research challenges.

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