Hidden markov model based node status prediction technique for target coverage in wireless sensor networks
- Resource Type
- Conference
- Authors
- Chaturvedi, Pooja; Daniel, A. K.
- Source
- 2017 International Conference on Intelligent Communication and Computational Techniques (ICCT) Intelligent Communication and Computational Techniques (ICCT), 2017 International Conference on. :223-227 Dec, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Hidden Markov models
Wireless sensor networks
Sensors
Protocols
Monitoring
Wireless communication
Dynamic programming
target coverage
hidden markov model
wireless sensor networks
optimal sequence
dynamic programming
- Language
Wireless sensor network is a crucial research topic among the researchers because of the significant advances in the wireless transmission technology. Wireless sensor network is an infrastructure less network consisting of several small size and low cost devices possessing the sensing, computational and wireless communication abilities. There are several energy management, routing and data dissemination approaches proposed in the literature. The major emphasis however has been given to the routing protocols which differ on the basis of network organization and application requirements. Coverage is emphasized as major concern in the area of sensor networks which determines the degree and duration of sensing quality. The paper proposes a hidden markov model based node status prediction approach which determines the optimal sequence of states of the nodes such that all the targets are monitored with the desired coverage level. The trust concept is also incorporated to overcome the dynamism of the network conditions. The results obtained by using the dynamic programming mechanism and hidden markov model are compared.