Recent years have gain a tremendous attention in the use of wireless sensor network due to their numerous applications which explores from small to large scale and has became a hot research area for the research. A wireless sensor network comprises of a number of energy constraint sensor nodes deployed in the target region. In this paper , an multihop clustering based routing protocol have been proposed .In this protocol the clustering is elected on the basis of distance from the base station and residual energy of the node. A chain is formed to pass the information to the nearby nodes. The paper presents the comparison graph for the homogeneous network.
Caching is a technique that transparently stores data nearer to the requester so that future requests for that data can be served faster. In networking environment, caching is a method of storing data in multiple places on the network, typically to reduce response time and network traffic. In wireless environment, through caching we can improve the efficiency. Caching can be utilized to improve the efficiency by storing the data nearer to the requester. Data are stored nearer to the requester, so it will reduce the access latency and bandwidth usage to transmit data to the requester, and reduce the overall cost of accessing data. Wireless environment is infrastructure-less so all nodes directly communicate with their neighbors. In wireless sensor network, nodes have limited resources such as battery, communication bandwidth, storage, etc. Through caching we can reduce the overall cost of accessing data and conserve the scarce resources.
Wireless Sensor Network (WSN) has limited resources such as energy, computation and transmission capacity. These resources are not sufficient for transmitting large amount of data collected by the sensor nodes. Wireless Multimedia Sensor Network (WMSN) generates large amount of data that requires more energy and transmission capacity as compared to scalar data. So it is desired to perform in-network data compression in WMSN. In this paper the authors have used Principal Component Analysis (PCA) technique for data compression. PCA can be efficiently used in wireless multimedia sensor network to reduce the energy consumption, reduce the network load and prolong the network lifetime. Simulation results show that PCA based compression conserves energy of sensor nodes and prolongs the lifetime of WMSN.
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