No abstract

Summary In most wireless sensor network (WSN) applications, energy efficiency is a major issue and also choosing an energy efficient routing is crucial for maximizing the network lifetime. In this paper, an energy efficient optimal routing method is presented for WSN based on SAR‐MARKOV model. Initially, nodes in the network are effectively clustered utilizing k‐means clustering in terms of energy, message size, and packet size to obtain the most reliable model of clustering. Afterwards, a Search and Rescue (SAR) optimization approach is utilized for optimal cluster head selection which works based on the SAR behavior of humans to optimize the constraints. After the selection of cluster head, the Markov model provides an accurate prediction of the shortest path to achieve energy efficient optimal routing. This work is implemented in NS2 platform. The experimental results of the presented approach provide improved performance than the different existing routing techniques in terms of throughput, packet loss ratio, packet delivery ratio, network lifetime, jitter, energy consumption, time complexity, end‐to‐end delay, and bit error rate.

For personal, mobiles and sensor communications wireless sensor networking is an emerging concept in recent years. Normally wireless sensor network (WSN) is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. In this paper, we describe different type’s energy optimization techniques/approaches and basic routing scenarios used for efficient communication in wireless sensor networks. To support data communication in wireless sensor networks we also give brief description about different routing protocols. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. In this survey, we discuss about energy optimization approaches in wireless sensor networks, and also define several techniques which aim energy consumption in wireless nodes in WSNs.

In recent years, Wireless sensor networks (WSNs) have been emerged as an important research area due to its wide spread application in various domains such as military sensing and tracking, environment monitoring, patient monitoring, etc. WSN also have various advantages in gathering the data also with data transmission as well. Even though WSN has such advantages, there is certain drawback related to the energy consumption for data transmission over the network. Wireless sensor networks basically depend on the availability of nodes for transmission and if some dead nodes are available on the designated path of transmission, there will be delay in communication and also will affect the energy consumptions. Also, when a particular node is transmitting any data packet with high power, it may lead to interference which will affect the proper transmission of data and wastage of power as well. For power level reduction proper methodology has to be followed starting with the clustering and designing of routing protocols in WSNs. We intend to develop an enhanced clustering algorithm for initial clustering of sensor nodes for data transmission. Nodes will be clustered based on working attributes. Once nodes are clustered into different groups, transmission path will be assigned. An energy efficient optimal protocol will be designed in our approach for routing to improve the energy utilization by optimal power utilization. For optimization, we can employ multi objective optimization techniques which can enhance the optimal selection of power utilization. The proposed scheme will be then compared with some existing techniques to show the efficiency of the proposed approach.