Abstract
The main challenges involved in target tracking applications of Wireless Sensor Networks (WSN) are energy consumption, accuracy and security. In order to reduce the amount of energy consumed in target tracking, in this study, Ant based compression and Sleep Scheduling technique is proposed. In this approach initially the information of the nodes are localized and tracked through ACO technique. After the localization process, the data which has to be transmitted to the destination node is compressed in order to make the network more efficient. A Sensor Node Activation Mechanism is developed, where the sensor nodes are turned into sleep mode for a specific time interval. Simulation results show that the proposed technique considerably reduces the network energy consumption.
Highlights
Wireless sensor network: Wireless Sensor Network (WSN) has become a very important topic with the rapid development that is vulnerable to a wide range of attacks due to deployment in the hostile environment
Simulation parameters: The Ant based Compression and Sleep Scheduling technique for target tracking (ACSS) technique is evaluated through Network Simulator (NS2)
We have used two target objects which randomly move across the network, whose location information has to be tracked by the sensor nodes
Summary
Wireless sensor network: Wireless Sensor Network (WSN) has become a very important topic with the rapid development that is vulnerable to a wide range of attacks due to deployment in the hostile environment. An ant based data compression and member node in a cluster uses two operation modessleep scheduling technique is proposed to reduce the active mode and sleep mode The advantage of this energy consumption involved in target tracking. The network localizes and targets the destination, compresses the data packets during the transmission and uses a mechanism to send the node to sleep: Step 1: Initially the network localizes and targets the destination node using the ACO approach of the previous work This ACO approach consists of Proximity Distance Map (PDM) calculation and Localization of Normal Nodes. The cluster head compresses the data packets received from its member nodes as a compact structure with three entries mean, bitmap and variance. The node will be sent to the sleep mode for particular time period and a message about that particular node will be sent to the destination node
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