在分层移动IPv6(Hierarchical Mobile IPv6,HMIPv6)网络的平均切换开销和平均切换延迟模型的基础上,分析了移动锚点对平均切换开销和平均切换延迟的影响。数值结果表明对于部分节点而言,移动锚点选择时很难使开销和延迟同时达到最小,且...
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在分层移动IPv6(Hierarchical Mobile IPv6,HMIPv6)网络的平均切换开销和平均切换延迟模型的基础上,分析了移动锚点对平均切换开销和平均切换延迟的影响。数值结果表明对于部分节点而言,移动锚点选择时很难使开销和延迟同时达到最小,且单一性能改进可能造成另一性能的大大下降。为解决该问题,提出最小权重移动锚点选择算法,可根据用户的实时性需求动态调整移动锚点选择算法,进而调整开销和延迟。实验证明算法具有更好的灵活性,能够满足用户的多种实时性需求。
The model of energy cost in a wireless sensor network （WSN）environment is built, and the energy awareness and the wireless interference mainly due to different path loss models are studied. A special case of a clust...
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The model of energy cost in a wireless sensor network （WSN）environment is built, and the energy awareness and the wireless interference mainly due to different path loss models are studied. A special case of a clustering scheme, a twodimensional grid clustering mechanism, is adopted. Clusterheads are rotated evenly among all sensor nodes in an efficient and decentralized manner, based on the residual energy in the battery and the random backoff time. In addition to transmitting and receiving packets within the sensors＇ electrical and amplification circuits, extra energy is needed in the retransmission of packets due to packet collisions caused by severe interference. By analysis and mathematical derivation, which are based on planar geometry, it is shown that the total energy consumed in the network is directly related to the gridstructure in the proposed grid based clustering mechanism. The transmission range is determined by cluster size, and the path loss exponent is determined by nodal separation. The summation of overall interference is caused by all the sensors that are transmitting concurrently. By analysis and simulation, an optimal grid structure with the corresponding grid size is presented, which balances between maximizing energy conservation and minimizing overall interference in wireless sensor networks.
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