Abstract
Fault-tolerance is significant in pervasive computing environments. Recently, few research works has been developed for reducing the fault, occurring in pervasive computing. However, there is a need for a fault tolerance mechanism to reduce the link failures and unwanted mobile node access (in pervasive computing environment). In order to overcome these limitations, Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed. The main objective of MST-FT Model is to achieve resource efficient QoS in pervasive computing environment by avoiding the link failures and unwanted mobile node usages. Initially, the optimization of link failures is achieved by maintaining Markov chain of high energy mobile nodes on the wireless network communication path. The mobile nodes with higher energy and minimal drain rate are combined to form a chain in its corresponding path of communication in order to minimize the link failures in pervasive computing. Next, the inappropriate mobile node usage is avoided by selecting only the authorized mobile nodes for Markov chain construction to effective network communication, which resulting in improved fault tolerant rate. Therefore, MST-FT Model provides higher resource efficient QoS as compared to existing works. The performance of MST-FT Model is measured in terms of fault tolerant rate, execution time, energy consumption rate and quality of service level. The simulation results show that the MST-FT Model is able to improve the fault tolerant rate by 13% and also reduces the energy consumption rate of resource efficient QoS by 25%, when compared to previous works.
Highlights
Pervasive computing environment has attained great attention due to recent developments in portable low-cost lightweight devices which it emergent with short range and low power wireless communication networks
Based on the aforementioned techniques and methods presented, in this work we propose a novel framework called Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed to avoid the link failures and unauthorized mobile node usage relating to access point in the pervasive computing environment
An effective novel framework called Markov State Transition Based Fault Tolerance (MST-FT) Model is developed to minimize the link failures and inappropriate mobile node usage relating to access point in the pervasive computing environment
Summary
Pervasive computing environment has attained great attention due to recent developments in portable low-cost lightweight devices which it emergent with short range and low power wireless communication networks. Many research works has been designed for fault tolerance to attain better quality of services in pervasive computing. A dynamic parallel composition model was planned in [2] to ensure that resultant composition mechanism is dynamic in nature to adapt to the service nodes failure without compromising the quality of service with better fault error recovery time. Aspect-oriented middleware architecture was designed in [3] to reconfigure the pervasive computing systems for context-aware and application services. Aspect-oriented middleware architecture fulfilled the pervasive computing systems needs like mobility, fault tolerance and service distribution. A proactive fault-tolerant routing scheme with clustering and selfelimination techniques was implemented in [4] to establish a route among mobile devices of varying mobility and MAC in pervasive environment
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