Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks

Wireless sensor network (WSN) is an evolving research topic with potential applications. In WSN, the nodes are spatially distributed and determining the path of transmission high challenging. Localization eases the path determining process between source and destination. The article, describes the localization techniques based on wireless sensor networks. Sensor network has been made viable by the convergence of Micro Electro- Mechanical Systems technology. The mobile anchor is used for optimizing the path planning location-aware mobile node. Two optimization algorithms have been used for reviewing the performacne. They are Grey Wolf Optimizer(GWO) and Whale Optimization Algorithm(WOA). The results show that WOA outperforms in maximizing the localization accuracy

Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks

Wireless sensor network (WSN) is an evolving research topic with potential applications. In WSN, the nodes are spatially distributed and determining the path of transmission high challenging. Localization eases the path determining process between source and destination. The article, describes the localization techniques based on wireless sensor networks. Sensor network has been made viable by the convergence of Micro Electro- Mechanical Systems technology. The mobile anchor is used for optimizing the path planning location-aware mobile node. Two optimization algorithms have been used for reviewing the performacne. They are Grey Wolf Optimizer(GWO) and Whale Optimization Algorithm(WOA). The results show that WOA outperforms in maximizing the localization accuracy

A Movement of Mobile Sink in Wireless Sensor Network to Conserve Energy

Energy is the major constraint in wireless sensor network. In wireless sensor network with static mobile collector (SNSMC),static nodes located near to sink consume more energy, since the nodes relay the data collected by sensor nodes far away from the sink. The battery drained in short time. This problem is resolved by the MMC-WSN method. While simplifying the routing process, proposing an energy-efficient routing technique based on cluster based method for mobile sink is preferred. First part ,the selection of cluster head (CH) in cluster based method made periodically according to their residual energy and in second part the mobile sink moves across the sensing field and directly collects data from cluster heads and returns to back to initial site in a specific sequence based on spanning graphs. The spanning graph includes the shortest search path for the MS. Finally, a tour-planning algorithm is used on the basis of the spanning graph. An energy efficient routing technique (EFR) in WSNs among obstacles uses the shortest route. In this way, the mobile sink retrieves all detected knowledge among a given time and sends to base station which reduces the packet delay and energy-consumption and WSNs

REACTIVE POWER MONITOR ALGORITHM TO ENHANCE THE NETWORK CAPACITY

Wireless ad hoc network is an infrastructure less wireless network with self organization and self configuration properties. Due to its characteristics, MANETs are well suited for sensitive real time applications like military, law enforcement and disaster recovery. Heterogeneous mobile nodes present in network are communicates one another by wireless communication channel, directly if they are present within a radio communication channel of rely on intermediate nodes for communication. Existing work discussed about reactive link interference monitoring method for multi hop mobile ad hoc networks. The prime objective of this method is to achieve effective communication in MANETs. Algorithm provides effective results, as the data transmitted via wireless link based on its monitored status. The data packets only forwarded through those links, which are capable of handling them and congestion in the link is very less. This algorithm enhances the network capacity by the help of link optimization method. However this objective is not enough to effectively enhance the network capacity. Thus in this paper we propose a per node power monitor method to decrease the power interference. This method is based on multiple access power to every communicating node. Performance results shows that our work is enhance the network performance by Power optimization

Performance Analysis of Synthetic Mobility Models and Mobile Ad Hoc Routing Protocols

Routing protocols heavily influenced by the node motion applied. Many performance analyses are already done with a lot of flaws. But, they do not look to all influenced constraints. Sometimes, they evaluate routing protocols without taken into consideration mobility models. They often analyze them using one routing protocol. Whereas, Simulation time employed is too short. It mainly impacts performance metrics of many mobility models. Or usually, simulation area used is small. It influences the number of packets received. In this study, we aim to summarize all these several parameters into 90 different scenarios with an average of 1350 simulated files. We will combine some well-known mobility models with the most prominent mobile Ad hoc routing protocols in order to analyze their accurate behaviors in one experimental synthesis paper. That shows results of three performance metrics combined with five mobile ad hoc routing protocols under three synthetic mobility models. All these parameters are applied to two dissimilar simulation areas, a small one with (220 m x 220 m) and a large one with (1020 m x 1020 m). Basing on one exhaustive analysis with all these details like this paper; leads to well understand the accurate behaviors of routing protocols and mobility models used. By displaying the ability of every routing protocol to deal with some topology changes, as well as to ensure network performances

Localizing noncooperative receiver through full-duplex amplify-and-forward relay

Localizing noncooperative transmitter (Tx) and receiver (Rx) that belong to another system is important in many scenarios, e.g., interference management in cognitive radio systems and user behavior learning in ad hoc wireless networks. However, obtaining the locations of these nodes in particular in frequency-division duplex systems is challenging, since the localization network usually does not know the spectrum that the Rx uses for backward transmission. In this paper, we propose to use the full-duplex relay technique to localize a noncooperative Rx, which does not require the knowledge of the Rx’s backward transmission spectrum. In the proposed method, localization sensors alternatively act as a full-duplex amplify-and-forward relay to trigger the power control of the Tx–Rx link. Then, by detecting the power adjustment of the Tx, each localization sensor can estimate the time difference of arrival between the direct and relay signals. Finally, the Rx location can be calculated from triangulation. Simulation results show that the proposed method can effectively localize the Rx, which validates its potential for receiver-aware applications and services