Abstract
Wireless Sensor Networks (WSNs) due to their inherent features are vulnerable to single or multiple sensor node failure. Node’s failure can result in partitioning of the networks resulting in loss of inter-node connectivity and eventually compromising the operation of the sensor network. The recovery from partitioning of network is crucial for inter-node connectivity. In literature, a number of approaches have been proposed for the restoration of inter-node connectivity. There is a need for a distributed approach that has an energy efficient operation as energy is a scarce resource. By keeping this in mind we propose a novel technique to restore the connectivity that is distributed and energy efficient. The effectiveness of the proposed technique is proven by extensive simulations. The simulation results show that the proposed technique is efficient and capable of restoring network connectivity by using the mechanisms for improving the coverage.
Highlights
In recent years, a number of applications have gained interest in wireless sensor networks for the fact that they are applicable in harsh environments predominantly in the setup of hostile applications, such as reconnaissance of the battlefield, surveillance of coast and border, rescue and search, outer space, and deep ocean exploration [1]
We present a distributed energy efficient node relocation algorithm that is capable of recovering the network from node failure
A more realistic communication model incorporating the effect of propagation and other factors can be considered for the performance evaluation
Summary
A number of applications have gained interest in wireless sensor networks for the fact that they are applicable in harsh environments predominantly in the setup of hostile applications, such as reconnaissance of the battlefield, surveillance of coast and border, rescue and search, outer space, and deep ocean exploration [1]. A variety of magnetic, chemical, thermal, optical, biological and mechanical sensors could be combined to the wireless sensor nodes to measure the properties of the environment [2]. These sensors can measure, sense and collect data from the environment and they can broadcast the sensed data to the manipulator. These nodes comprise a power supply, an actuator, memory, processing unit, and radio transceivers. A secondary power source that gathers energy from the external environment could be added such as solar cell, depending on the sensor nodes and the type of application [3]
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