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1011 Motivating the Use of Mobility in WSNs Most of the research in WSNs concerns networks whose nodes do not move and cannot be replaced Nodes sense events of interest, and some energy-ef cient routing protocol is used for delivering the sensed data to static sinks In this scenario, it has been observed that the nodes that more than all the others have their energy drained from data communication are those closer to the sinks These nodes relay data for all the other nodes in the network as well as packets from the sinks to the sensors As a consequence, nodes that are closer to the sinks soon die from energy depletion resulting in the disconnection of the sinks from the rest of the network The problem of energy drainage at the sink neighbors is referred to as the sink neighbors problem.

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[ Team LiB ]

The consequences of this problem are illustrated in Figure 101, which shows the average nodal residual energy when the nodes closest to the sink die The gure refers to networks with 400 homogeneous nodes, each with a short transmission range (25 m), placed on a 20 20 grid The static sink is (optimally) located at the center of the deployment area Packets are periodically sent to the sink by using a shortest path-like multihop routing protocol [9, 10] The picture shows the quite uneven node average residual energy (percentage of the nodal initial energy) at the time the four sensor nodes that relay packets to the sink die, leaving the sink unable to receive any more data from the network.

The remarkably high variance among the residual energies is due to the different distance of each node from the sink and, in general, to the different number of sensor-to-sink routes to which a node belongs, which implies different number of packets to relay Nodes along the cross centered at the sink tend to be the preferred data relays The closer these nodes are to the sink, the higher the number of packets they receive and transmit, and consequently the higher their energy consumption These are the nodes with the lowest residual energy in the gure In particular, when the nodes around the sink die, the energy at the nodes along the cross arms averages at 7107% of their initial energy, while 4275% of the.

We need to arrange our plug-in so readers will know what is important and what is not, what is stable and what is likely to change The Invitation Rule tells us to invite contributions One way to invite contributions is to publish extension points, la the Explicit Extension Rule Another form of contribution is to expose some of your programmatic interface for others to use Published APIs should also be explicit: EXPLICIT API RULE Separate the API from internals Designers need freedom If you publish all functionality as potentially useful APIs, when you want to change the internal structure you break all clients If you don't carefully define the API, you as a designer gradually lose your freedom to innovate

100 90 80 70 60 50 40 30 20 10 0

Fund Name 1 Fixed Interest* Core Bond (Babson) Conservative Journey Moderate Journey Aggressive Journey Main Street (OFI) Focused Value (Harris/C&B) Index Equity (Northern Trust) Blue Chip Growth (Fidelity) Growth Equity (GMO) Fundamental Val (Wellington) Mid Cap Growth II (T. Rowe Price) Small Co Opportunities (Babson) Small Co. Grwth (Mazama/Eagle) Overseas (American Century/Harris) Global (OFI) 1 Self Directed Brokerage Account

STABILITY RULE Once you invite others to contribute, don't change the rules Once you have published an API, it is rude to change it without a compelling reason If I have written a plug-in based on your version 10, I'd like it to work without modification on your version 11 Keeping the API stable is to both of our benefits, except if it's wrong The need to balance stability and growth leads us to the third API-related rule:

Figure 10.1. Node residual energy (%).

network nodes have more than 95% of their initial energy available! This incapacity of balancing node energy consumption results in short network lifetime (the time until packets are no longer deliverable to the sink) and inef cient use of available resources The sink is soon disconnected from the network, while a large number of the deployed nodes are still fully operational! This chapter explores solutions for mitigating the sink neighbors problem illustrated above, by exploiting the mobility of some of the network components, thus improving network performance Given the typical mobile nature of general ad hoc networks, the impact of mobility on their performance has been extensively explored [11 19] The primary objective of these works is that of exploiting the mobility of some of the nodes for message delivery in disconnected ad hoc networks, for improving network throughput, and for studying mobility-assisted routing in general.