An Efficient Energy Saving Sink Selection Scheme with the Best Base Station Placement Strategy Using Tree Based Self Organizing Protocol for IoT

Abstract

Wireless sensor networks using sink node increases the effectiveness in collecting data from various detecting and sensing fields. Sink node acts as an interface between the sensing field and the user agents. The data collected by sensor nodes is send to the sink nodes. The sink is base station, which collect and process data in the centralized mode. So base station is a special node which has unlimited energy and is active all the time. Placement of the base station will have great impact on the energy consumption and lifetime of WSNs. This paper proposes an efficient sink selection scheme (ES3) with proper ase station placement, for sensor network of IoT. In ES3 two kinds of nodes exist (1) network node, (2) non-network node. Network nodes involve in transmission of packets from sensing area to the base station. Non-network nodes will be waiting to join the sensing field and to select proper sink node after receiving broadcast packets. based on the placement of the base station, residual energy of network nodes, distance between the sensor node and the sink node, selection of sink node by each sensor node, routing structure is created. By considering 100 sensor nodes in NS2 a simulation is carried out to evaluate ES3. Simulation results proved that the ES3 will be more energy saving when the base station is placed in the middle of the sensing field. By using performance metrics like, average energy consumption of network, delay in processing packet, dropping ratio of the packet, jitter, packet delivery ratio, residual energy of network nodes, throughput an analysis is done using two scenarios, when the base station is placed in middle and in outskirts of sensing field.