By Natarajan Meghanathan (auth.), Salah S. Al-Majeed, Chih-Lin Hu, Dhinaharan Nagamalai (eds.)

This publication constitutes the refereed complaints of the 3rd overseas convention on instant, cellular Networks and functions, WiMoA 2011, and the 1st foreign convention on desktop technology, Engineering and functions, ICCSEA 2011, held in Dubai, United Arab Emirates, in may possibly 2011. The publication is geared up as a set of papers from WiMoA 2011 and ICCSEA 2011. The eight revised complete papers awarded within the WiMoA 2011 half have been conscientiously reviewed and chosen from sixty three submissions. The 20 revised complete papers offered within the ICCSEA 2011 half have been conscientiously reviewed and chosen from a hundred and ten submissions.

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Example text

In our study, Random Variation in Coverage of Sensor Networks 37 we quantify the network lifetime by the mean value of U i (t ) which relates to the system variable A. The percentage of uncovered length = Expected [ U i (t ) ] / Total length. 2. The simulations analyze the impact of several factors on the uncovered area. Energy efficiency, network throughput, and fault tolerance are generally considered to be the main metrics of sensor networks performance. e. low deployment factor and high K values) is expected to improve these metrics.

This is a much stronger assumption than that needed for reclustering. Authentication In each case, a node with IDn contains secret Sn, known only to itself and the BS. get() command in TinyOS), M represents a message to reprogram or recluster or a request that another node be reprogrammed. H represents a hash function and we assume that n, M and R are the appropriate size for input to H. All message requests to reprogram or to re-cluster between nodes and nodes, or between the BS and nodes, include the node ID of both sender and receiver and a hash of data including the secrets known only to the sender and BS and of the current value for R.

The instantaneous sensing radius depends on time and space. The time varying environmental effects and noise variation, will cause the uncovered length between sensors to change with time and space. Thus, at any instance in time, we have a certain value of uncovered length between any two adjacent sensors. We are interested in the expected value of the percentage-uncovered area, considering these three effects. 2 System Modelling We will use the distance between any two adjacent sensors to model the uncovered area as a function of random deployment (Uniform and Poisson), sensing radius, noise and environmental effects.

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