Abstract
Wireless sensor network (WSN) most popular area of research where lots of work done in this field. Energy efficiency is one of the most focusing areas because life time of network is most common issue. In the WSN, the node placement is very essential part for the proper communication between the sensor nodes and base station (BS). For better communication nodes should be aware about their own or neighbor node’s location. Better optimization of resources and performance improvement are the main concern for the WSN. Optimal techniques should be utilized to place the nodes at the best possible locations for achieving the desired goal. For node placement, flower pollination optimization and genetic algorithm are useful to generate better result. BS is responsible for the communication of nodes with each other and it should be reachable to nodes. For this Region of Interest (RoI) is helpful to choose the best location. Placement of BS in the middle is suitable place for the static nodes deployment and there should be other strategy for the dynamic environment. Nodes should be connected to each other for the transmission of data from the source to BS properly. From the MATLAB simulation, it has been shown that the proposed methodology improves the network performance in terms of dead nodes, energy remaining and various packets sent to BS.
Highlights
Sensor Networks (WSNs) expand at a speedy pace due to the huge range of applications made to be had through this flexible technology
The previous energy conserving protocol ensures that self-powered nodes with less energy available have time to recharge, which is accomplished by the introduction of a delay into the network’s throughput
We review certain of the routing challenges and design problems that affect routing procedure in Wirelessly Sensor Networks (WSNs)
Summary
Sensor Networks (WSNs) expand at a speedy pace due to the huge range of applications made to be had through this flexible technology. One prominent issue with WSNs are power limitations which can severely constrict network lifetime. There is alternative solutions available to accommodate these network inconsistencies and help ensure longevity of a network’s lifetime. Opportunistic routing protocols (ORP) are one solution to promote network lifetime through the use of dynamic. ORP takes benefit of the physical communication layer, dynamically selecting the node based on availability and other instantaneous network conditions [10]. The previous energy conserving protocol ensures that self-powered nodes with less energy available have time to recharge, which is accomplished by the introduction of a delay into the network’s throughput. An alternative protocol is proposed which still ensures that selfpowered nodes with less energy have time to recharge, without the introduction of a network delay
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