Recently, Wireless Sensor Networks (WSNs) are getting more fame because of low cost and easy to manage and maintain. WSNs consists of sensor nodes and a Base Station (BS). Sensor nodes are responsible to sense, transmit and receive the data packets from sensing field, and the BS is responsible to collect this data and covert it into readable form. The main issue in this network is lack of power...

Sensor network deployments may be far removed from communications infrastructure such as the Internet. Yet, to be maximally useful, these networks of sensors must ultimately be connected to data storage and analysis facilities. Providing connectivity for such networks may involve exotic and unusual methods of data transfer. In addition, within such networks, problems of intermittent connectivit...

Wireless Multimedia Sensor Networks (WMSNs) have entered the class of Wireless Sensor Networks (WSNs) to meet the multimedia requirements of new emerging applications, such as surveillance and telepresence. Combining the traditional scalar sensors used in WSN nodes with tiny cameras and microphones, WMSNs commonly carry heterogeneous traffic with different Quality of Service (QoS) requirements....

The clustering algorithm is one of technique used to reduce energy consumption. It can increase the lifetime and the scalability. Energy-efficient protocols should be designed for the characteristic of heterogeneous wireless sensors networks. In PC-LEACH, the cluster-heads are elected by a probability based on the min distance between node and base station. The epochs of being cluster-heads for...

Sensor networks enable an unprecedented level of access to the physical world, and hold tremendous potential to revolutionize many application domains. Research on sensor networks spans many areas of computer science, and there are now major conferences, e.g., IPSN and SenSys, devoted to sensor networks. However, there is no exclusive forum for discussion on early and innovative work on data ma...

Future communication networks are expected to be heterogeneous consisting of different wireless systems such as WLAN and Bluetooth systems, which can be used in building wireless sensor networks. The development of these network technologies and due to the limited energy supply of sensors have prompted sensor researchers to consider alternatives that minimize energy consumption in sensor networ...

Heterogeneous sensor networks consisting of networked devices embedded into the physical world have a significant role in pervasive computing systems. Such sensor networks may contain wireless sensor networks that are ensembles of small, smart, and cheap sensing and computing devices that permeate the environment, as well as high-bandwidth rich sensors such as satellite imaging systems, meteoro...

Research on Wireless Sensor Networks has often assumed homogeneous nodes. In reality, homogeneous nodes have different capabilities like different levels of initial energy and drain rate. This leads to the research on heterogeneous networks where two or more types of nodes are considered within the network and the more powerful sensor nodes act as cluster heads. In this paper, we have analyzed ...

While network coding is well known for its efficiency and usefulness in wireless sensor networks, the excessive costs associated with decoding computation and complexity still hinder its adoption into practical use. On the other hand, high-performance microprocessors with heterogeneous multi-cores would be used as processing nodes of the wireless sensor networks in the near future. To this end,...

run different applications for different tasks, such as event detection, localization, tracking, or monitoring. Different types of sensor node are therefore required, and to handle heterogeneous WSNs with a large number of these different sensor nodes, a comprehensive management architecture is also necessary. We present MARWIS, a Management Architecture for heterogeneous Wireless Sensor Networ...