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Hole Detection and Healing in Hybrid Wireless Sensor Network


Author : Samidha Kalwaghe and Atul Dusane

Pages : 273-276
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Abstract

The emerging technology of wireless sensor network (WSN) is expected to provide a broad range of applications, such as battlefield surveillance, environmental monitoring and so on. Due to low residual energy of nodes or poor installment coverage holes are formed, coverage hole must be healed so as the sense data from complete region. Proposed method seeks to address the problem of hole detection and healing in mobile WSNs by deploying mobile sensors in a hybrid sensor network. An enhanced hole detection and healing method (MHEAL) is proposed. MHEAL is a distributed and localized algorithm that operates in two distinct phases. Initial phase is Distributed Hole Detection (DHD) which identify the boundary nodes and discover holes. Final phase is hole healing phase which uses a virtual forces based hole healing approach where only the nodes located at an appropriate distance from the hole and the nodes having maximum energy will be involved in the healing process. Unlike existing algorithms, proposed algorithm uses QUAD based node detection and energy efficient Hole healing and thus solves the problem of hole with maximum coverage, minimum node movements and minimum node distance traveled by nodes to heal the hole

Keywords: TENT Rule, MHEAL, HEAL, DHD, QUAD Rule.

Article published in International Journal of Current Engineering and Technology, Vol.6, No.1 (Feb-2016)

 

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