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The battery status of nodes should be broadcast periodically in order to keep the link cost up-to-date Simulation results show that the heuristic can approximate the maximum network lifetime if the frequency of information update is large enough Zussman and Segall [18] formulate the energy-ef cient anycast problem that follows the method in references 16 and 17, and they propose an iterative algorithm to obtain the optimal solution The energy-aware routing algorithms discussed above do not directly interact with power control, although power control is always used in the MAC layer to further reduce the energy consumption by decreasing the transmission power An alternative is to incorporate power control directly into routing algorithm [64, 65] This method requires that each source can put the transmit power level PTX at a suitable format eld in the transmitted packet.

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It also requires that the radio transceiver can measure the received signal strength PRX With these two values, the node that received the packet can estimate the link attenuation Upon the received signal power, the node can adjust its transmit power to the remote node by PTX = PTX PRX + SR + Secth Here SR is the minimum power level required for correct packet reception, and Secth is a power margin introduced to take into account channel and interference.

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power-level uctuations When a packet from this node is sent and received by the next-hop node, the next-hop node can do the same adjustment 1152 Power-Ef cient Topology Control Power-ef cient topology control [19 23, 67, 68] in wireless multihop networks maintains a moderate connectivity by adapting transmission range of nodes Reducing the transmission range reduces the energy consumed for per-packet transmission, and it also promotes the spatial reuse The objective of power-ef cient topology control is to minimize the transmit power while maintaining certain connectivity Ramanathan and Rosales-Hain [23] formulate this problem as a constrained optimization problem under the constraints that the result topology should be connected and bi-connected Their goal is to minimize the maximum transmit power of all the nodes in the network, and two centralized algorithms are proposed based on a new analytical representation of wireless multihop networks Haiiaghayi et al.

(IC3N 05), S R Thuel, Y Yang, and E K Park, editors, San Diego, CA, October 2005, IEEE, New York, pp 557 562 H A B F Oliveira, E F Nakamura, A A F Loureiro, and A Boukerche Error analysis of localization systems in sensor networks In Proceedings of the 13th ACM International Symposium on Geographic Information Systems (GIS 05), C Shahabi and O Boulcema, editors, Bremen, Germany, November 2005, ACM Press, New York, pp 71 78 A Boukerche, H A B F Oliveira, E F Nakamura, and A A F Loureiro A Voronoi approach for scalable and robust dv-hop localization system for sensor networks In Proceedings of 16th International Conference on, Computer Communications and Networks, 2007 (ICCCN 2007), 2007, pp 497 502 A Boukerche, H A B F Oliveira, E F Nakamura, and A A F Loureiro Localization systems for wireless sensor networks.

[68] studied the problem of minimizing power while keeping k-fault tolerance; that is, each node has at least k neighboring nodes within its transmission range Two centralized approximation algorithms are proposed, and the upper bound of the approximation factor is proved A distributed heuristic for 2- and 3-connectivity is also given based on the Minimum Spanning Tree (MST) algorithm Li and Sinna [20] designed a framework for evaluating (a) the performance of topology control algorithms using the overall network throughput and (b) total energy consumption per packet delivered as the metrics Based on this framework, scenarios in which topology control improves the network performance can be identi ed Besides the efforts on theoretical analysis of power-ef cient topology problem, distributed heuristics are also proposed to improve the network performance in terms of energy and throughput.

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java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader